Eviota

Roundtable Discussions on Greening European Film Policy

Wed, 07 Jun 2023 11:46:00 +0200

Daniel Antal, CFA, participated in the Budapest Roundtable Discussions on Greening European Film Policy. The topic of the Chatham House panel discussions with dozens of film production and film sustainability experts was the elevation of sporadic sustainability initatives to a policy level.

The key takaway of the event was that sustainabiilty intiatives are present at development, production and post-production stages, and there are certain policy level incentives and initatives present in the CEE region. The main driver of these initial steps is compliance with existing frameworks of large global studios and buyers.

Reprex’s Eviota system has a top-down approach that follows the EFRAG/ESRS standards and starts with estimating the likely double material items in a budget or a production general ledger. This approach is a good complement to most existing calculators which focus on Scope 1 only and do not use the double materialtiy test. Our design approach also considerd the important role of large European and non-Euroepan companies that will fall under the scope of hte CSRD Directive from 2024 and 2026.

Roundtable Discussions on Greening European Film Policy

Tue, 06 Jun 2023 10:00:00 +0200

Greening European Film Policy (GEFP) explores the burgeoning field of environmentally sustainable - ‘green’ - production in the European film industries. The project views green production as both an ethical proposition and a means to ensure the competitiveness of the European film industry - under which we include film, television, and streaming media. We position green production as a unique and as-yet unexplored competitive advantage for the film sector, where advanced development, embedding, and dissemination of green production practices is a crucial factor in maintaining the competitiveness, if not the very viability, of the European film industries.

GEFP focuses on mapping ongoing policy initiatives for green production and evaluate how the dynamics of top-down governance and horizontal policy and communication incentivise, deploy, and assess on-the-ground practice. We collaborate with key stakeholders across the UK and European green film and television sector, including policymakers, environmental consultants, production companies, and creatives to provide policy recommendations to incentivize a more sustainable sector.

Daniel Antal, CFA, was participating in the panel presentations and discussions on behalf of Reprex and presented the ideas behind the Eviota project.

The Budapest event was orgnanised by Dr Pietari Kääpä, University of Warwick, Policy Support Fund, Laurent, and GreenEyes Productions.

Questions for Film Funds and Policies

What are the current norms regarding funding and policy requirements around sustainability?
What challenges do you face in implementing or imposing sustainability policies?
Are there ways in which you might benefit from more communication or understanding of on-set experience from a sustainability POV?
Are there ways in which you might benefit from more regional or international collaboration, or is funding an inherently localized issue?
We mainly talked about sustainability from a production POV so far, where do you think featuring it as part of the storyline has relevance / potential? Is the film fund considering similar changes to what happened internationally (BFI, Eurimage etc.) where the funding applications require to elaborate on any planned sustainable practices?
What models do you think work well in other countries, that you think would be realistic to implement in the region and what is needed in order to implement it?

Access to Green Finance

Mon, 24 Apr 2023 11:46:00 +0100

Photo: Eddie Zhang

Cultural and creative enterprises often need help with access to finance. In the EU’s policy documents, this is often attributed to their higher perceived risk, lack of tangible assets to provide collateral, and difficulty of valuing the sector’s intangible assets. Eviota aims to support access to green finance, which can alleviate the problems of many businesses.

The Creative Europe’s guarantee facility for the cultural and creative sectors and industries was based on the assumption in 2016 that the financing gap of the CCSIs was up to 1 billion euros per year ¹. In our view, this gap increased in the 2020s because the earlier estimate assumed a “business as usual” and did not estimate the transition costs to zero carbon.

The sustainable finance package estimates that to make the EU climate-neutral by 2050, Europe needs between €175 to €290 billion in additional yearly investment in the following decades². Because according to the European Investment Fund, with varying sizes in European countries, on average, 5.5% of the EU value added is related to cultural and creative sectors. We assume that the industry should be able to absorb about €8-15 billion for its transition to a more sustainable development path³. While this “financing gap” is based on a different methodology and should be seen more as a “gross financing need”, which includes the replacement of infrastructure and amortisation of infrastructure, which is in corporate finance seen as business continuity by any of means, the financing gap is enormous.

The European Green Deal has the financing capacity to meet this demand⁴. Still, in our experience with music and audiovisual enterprises, the absorption capacity towards sustainable finance is lower than with traditional, non-sustainable finance. The Survey on access to finance for cultural and creative sectors: evaluate the financial gap of different cultural and creative sectors to support the impact assessment of the Creative Europe programme identified mainly business model problems and small enterprise size as the main culprit. Our Eviota for Music highlighted another critical problem: oversimplified management controlling/reporting systems that cannot support the creative enterprise’s and its stakeholders’ business decisions. The oversimplified accounting system must provide more information for a loan application and a green loan application.

Our Eviota system hits two birds with a stone: we improve the quality of the management information and connect it with reliable sustainability indicators. We are developing ways to adhere to the requirements of the Corporate Social Responsibility Directive⁵ (i.e., the modification of the EU Accounting Directive and auditing rules) within the scope of simplified accounting typical for microenterprises. We are working on an objective measurement tool that can be used both by creative enterprises to convince their public donors, corporate sponsors, banks, insurers, and investors that their economic activities are sustainable; or to work for financial intermediary organisations to assess the financial, environmental, social and governance sustainability of their potential lenders or investees.

Survey on access to finance for cultural and creative sectors—Evaluate the financial gap of different cultural and creative sectors to support the impact assessment of the creative Europe programme ↩︎
European Commission: Financing Sustainable Growth. This factsheet is the source of the diagrams. ↩︎
European Investment Fund: Market Analysis of the Cultural and Creative Sectors in Europe—A Sector to Invest In ↩︎
Access to finance facilitating support for the Green Deal By Ambroise Fayolle, Vice-President of the European Investment Bank ↩︎
Directive (EU) 2022/2464 of the European Parliament and of the Council of 14 December 2022 amending Regulation (EU) No 537/2014, Directive 2004/109/EC, Directive 2006/43/EC and Directive 2013/34/EU, as regards corporate sustainability reporting (Text with EEA relevance) ↩︎

From Accounting to Environmental Accountability

Mon, 24 Apr 2023 11:46:00 +0100

Photo: Nick Morrison

Like all creative enterprises, music enterprises are often founded and led by creative people with artistic or technical backgrounds. In Europe and the U.S., most music technicians, artist, and their managers work in very small enterprises. These enterprises usually need qualified business or financial administrators and HR- or data specialists. They often see accounting as a necessary or even unnecessary evil that is only used to report taxes. The accounting system is often outsourced to a chartered accountant or an accounting firm, and accounts are only reviewed when it is absolutely necessary: on Tax Day.

Accounting is not a beloved activity. In the last 20 years, almost all European countries allowed further and further simplifications in financial accounting and reporting as well as tax reporting. Our experience is that, in many cases, this has led to oversimplification: the resulting financial accounting system needs to be revised to support a loan application, grant administration, or simply to identify perils to profitability or opportunities for economic growth. Such a revision is a great opportunity to take into consideration the needs of sustainability reporting.

What is simplified reporting?

If you look at the annual report of a listed company like Spotify, you see that their reports tend to be over 100 pages, and they publish mandatory reports every quarter. They employ an entire army of tax specialists to pay various dues. On the other hand, a typical music enterprise creates one mandatory report per year, which can be as thin as four pages depending on the country where the report is made.

Microenterprises often pay a simplified tax, i.e., they do not have to pay corporate profit tax, value-added tax, dividend tax, etc., separately. Simplified reporting usually applies to microenterprises (with less than 10 employees or 2 million euros of annual turnover.)

Less accounting and less granular information on the creative enterprise’s activity means less accountability for the economic or social impact of the enterprise. Creative enterprises are parts of complex value chains around film productions, music festivals, or advertising, to name a few, where tracing sources of water use, carbon footprints or strengthening injustices against women in pay or opportunity are not trivial. We believe that some level of accounting is necessary for accountability in terms of sustainability.

Eviota for Music and Eviota for Film aims to support micro- and small enterprises with better management, supported by connected financial and sustainability accounting that reflects the management novelties of 2023. We do not claim that sustainability management can be performed based on financial accounts. Still, we are confident that a financial accounting system must also register every economic activity with an environmental and social footprint. We want to help creative businesses adjust their accounting, controlling, and reporting practices because they can be more profitable. They can access the new, supported green loans and insurance. They can gain new grants and donors. And eventually, they can avoid greenwashing and pinkwashing.

Eviota is simple but not oversimplified. We connect your general ledger to reliable benchmarks and apply double materiality facts to focus your attention on financial performance and your environmental footprint. We aim to create a reliable, informative overview of your enterprise in less than an hour and start planning your transition to a more sustainable growth path.

Eviota for Film

Tue, 21 Mar 2023 09:40:00 +0100

Reporting the impacts of the entire value chain.

The Eviota project aims to create sustainability reports connected to the financial accounts of companies, NGOs, and civil society actors. The first phase concentrates on greenhouse gases and air pollutants. We want to create reliable estimates of the carbon and other pollutants footprint of music-related (social) enterprises based on their spending (“connected financial and sustainability reporting”.)

Creating connected sustainability reports has many advantages.

It shows consumers, donors, and buyers that the company cares for sustainable growth.
The organization can ask for grants related to increasing sustainability.
In the EU, the company will be eligible for cheaper green loans, green insurance, and green investments.
Large corporations, including music event donors, may require their supply chain to produce credible sustainability metrics.

There are some difficulties that we want to overcome in this project.

Connected financial and sustainability reports are complex, they require plenty of data, and mandatory only for ’large’ corporations. Just like small companies can make ‘simplified tax returns’ and ‘simplified financial reports’, we aim to create a less complex and cheap simplified, connected financial and sustainability report.
Due to the high complexity, they take a long time to create and are costly: the European Commission estimates their total cost at €10,000.

In Europe, there are a handful of large organizations present in the music industry. So, there is no regulatory push for music enterprises to engage in sustainability reporting. However, this means that they cannot benefit from the advantages above.

Table of Contents

Our approach

Most sustainability calculators are very complex because they use many data inputs from the company. Our mission is to reduce the complexity; however, this would require plenty of experience to define the shortcuts. We will compare all spending (upstream value chain or suppliers) and all income (downstream value chain or buyers) to the know spending of all similar organizations in your country in the comparison year.

To reduce the data need, we only take into consideration cost/income groups that meet the financial materiality treshold, i.e. 3% of your total costs or total business-to-business sales.

We offer free, manual calculation in the first phase to ensure we define these simplifications well. To reduce the time needed to collect data about your purchases and sales, we will rely on a part of the “trial balance”, because this is available in your accounting system (and can be exported by your accounting software.) The trial balance is an annual summary of the general ledger accounts. We need only the expenses and revenues accounts, and do not need assets, liabilities, gains and losses.

A part of a fictitious Italian trial balance with Italian and English language labels. The blurred numbers are randomized from an actual trial balance and presented in a different currency than the original.

Why the trial balance?

We start from a document that every company has, and does not require extra management time to prepare, the so-called trial balance. This is an accounting document that can be obtained from the company’s accountant.

A trial balance is a report that lists the balances of all general ledger accounts of a company at a certain point in time. The accounts reflected on a trial balance are related to all major accounting items, including assets, liabilities, equity, revenues, expenses, gains, and losses. It is primarily used to identify the balance of debits and credits entries from the transactions recorded in the general ledger at a certain point in time.

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We do not need the ledger, only the annual account summaries of revenues and expenses.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity. This way your annual report will be consistent, if you say in the financial part that you spend 1000 euro on energy, then we will calculate the greenhouse gas emissions based on KWh volume of the the energy that cost you 1000 euros.

This way we avoid a lot of data entry into the calculator. At this stage, you we do not offer an uploader, because we want to test manually different trial balances before automating the uploading process.

How does it work?

In the future, we hope our calculator will ask the user to upload the trial balance to a secure location, answer a few questions, and get the sustainability report back. Because the trial balance has no strictly defined form (it differs between small, very small, and medium-sized companies, and country to country), we need to do some manual reporting to standardize this procedure.

We use the trial balance (see examples of a trial balance), because that is a standard document that your accountant has about all your purchases and all your sales.

We compare your company’s supply purchases and sales with all similar companies in your country and industry for the comparison year. In this example, we compare the data of Hungarian publisher’s GHG emissions using the purchases in its trial balance with the emissions of all Hungarian publishers (based on their data reported to the tax authorities) in 2020.

Currently your accountant creates two documents, which are binded together and published by law in one “book”, your (Simplified) Annual Report. In Europe, all micro- and small companies create a Simplified Annual Report.

the annual (simplified) balance sheet
the annual (simplified) profit and loss statement

Using exactly the same data, i.e. the “trial balance”, and adding sustainability data, we will create a third document: 3. The annual (simplified) sustainability report, which is a non-financial disclosure of the annual report.

Process: From your data to the final report

We sign a non-disclosure agreement.
You send us your trial balance.
We create a first draft of your carbon footprint. We categorize your suppliers (costs) and buyers (income) into 64 categories for which we have reliable data. See methodology below.
Most of our calculations are made with iotables, our scientific and open source software. We rely on open data from the Green Deal Data Observatory, which in turn processes reliable data of Eurostat and the European Environmental Agency in readily usable format. The use of open source reporting tools and open data helps keep our costs low.
We set up a short call with you and your accountant to make some clarifications.
We provide you the final report.

What is the report?

The report is technically a non-financial disclosure (NFD) of your annual financial report, which currently consists of the balance sheet, the profit and loss statement. You can add an optional sustainability report as a third part.

The making of an NFD is not mandatory for small- and medium sized companies and NGOs that usually produce simplified financial reports.
It is two paragraphs of factual text, accompanies with a table and chart about how much greenhouse gases (or other pollutants) are created by your activities.
A sustainability report is a first step to factual sustainability management and avoiding greenwashing. When you know factually how your activities (including purchases from your suppliers) cause greenhouse gas emissions (or contribute to the gender paygap), you can devise steps to reduce your negative impact, or increase your positive impact.
We work with reliable expert advice so that you can act in a credible way, and make credible promises to your customers, your audience, your donors, granting agencies, bank, insurance, or investors.

Methodology

We follow the CPA classification for your suppliers and corporate buyers. See Statistical Classification of Products by Activity Some categories, like B MINING AND QUARRYING are aggregated, i.e. we cannot make a distintion among various mining activities. In service industries this is not required.
We use the same data for comparators that states use to monitor the Paris Accord. We use the categories of the System of National Accounts, which is harmonized on the level of the EU and the level of the UN. In 2022 we only work with EU and candidate countries that follow the EU version, and we’ll adjust our software in 2023 for the rest of the world.
Our sustainability methodology is based on the Global GHG Accounting & Reporting Standard for the Financial Industry.
We follow the EFRAG’s Proposals for a Relevant and Dynamic EU Sustainability Reporting Standard Setting (pdf download) because this will be the basis of future, mandatory reporting standards in Europe.
We will help small music organizations in their sustainability reporting, where detail data and reporting standards are only available for greenhouse gas emissions.

The Music Eviota project is supported by the MusicAIRE.

Open collaboration

Our project is based on open collaboration. Our proposal, provides us with resources to supply further music businesses, music civil society organizations and researchers with high-quality data (during the duration of the project for free.) We are already looking for interested parties to put our data and research projects into use and validate their usability and quality in real-life policy or business development scenarios.

Why are we developing this service?

The European Green Deal, which includes the proposed Corporate Sustainability Reporting Directive, and the sustainable finance package, aims to set the European economy on a permanent decarbonization and sustainability increasing path with adjusting the rules how economic activities are financed by bank loans, insurance, investments, and direct subsidies. From 2023, it will be cheaper to get loans, insurance, and other types of funding for organizations that can prove that they follow the environmental, social and governance path set out in the Paris Agreement and other UN, OECD, and EU agreements.

Requirements for connecting financial and sustainability reporting.

Correct and reliable sustainability management will come with many financial advantages and increased responsibility. The European Financial Reporting Advisory Board is currently preparing the new combined financial and sustainability reporting standard that will be used in banks, insurance, investment, granting, and the large companies of Europe in their entire supply and purchaser chain. The European Commission estimates that compliance costs until the end of 2023 will amount to 4 billion euros, with reporting and auditing costs mounting 10,000 euros per organization. While music small and medium sized organizations (MSMEs) and limited liability civil society organizations (CSOs) will be exempted from mandatory sustainability management and audited reporting, they can still comply in a non-audited and voluntary way.

Our solution benefits the music MSMEs and CSOs in several ways:

It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollution, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. Our previous research shows that particularly the live music industry that needs a large workforce, suffers from underuse of, and discrimination of female workers in various technical and even managerial roles. Our system will be able to flag risks of gender paygap and related issues in the entire value chain and of course, provide good benchmarks for internal activities.

Our review of the environmental, social and governance risk management (ESG sustainability management) suggests that complying with ESG standards is not only a pre-requisite to get cheaper loans (less important) and cheaper insurance (very important in live music), but also a requirement by corporate sponsors of events, and even a large part of the audience. While some music organizations already provide sustainability reporting, they are not standardized and are less factual as they are not connected to accounting information at every point. Our solution aims to give much credibility to both the sustainability reports and non-financial disclosures of the financial reports (which are not mandatory for MSMEs but increase their trustworthiness on an elective basis if they are included.)

Growing interest for ESG in select countries.

Future plans: Social Sustainability and Anti-Bribary

MusicAIRE Green Recovery in the Music Sector

Co-funded by the European Union

The objectives of the MusicAIRE GREEN recovery program is increasing the music sector’s environmental sustainability and ecological awareness with a view to greening the music industry, in particular live acts, festivals and touring, as well as supporting innovative start-ups aiming at decreasing the environmental footprint of online data storing and music distribution.

Co-funded by the European Union

Sustainability measurement and reporting for the CFO

Fri, 10 Mar 2023 11:00:00 +0100

Reporting the impacts of the entire value chain.

16:30: Meet and greet
17:00: Short presentation
17:15: Discussion of your reporting

The discussion will be based on the accounting documents sent to us in advance. We will create a first version of a simplified sustainability report about your music or film company (for profit, or non-profit.) we will not share any financial information in the meetup, only visualizations of risk heatmaps, and common reporting and sustainability problems.

Why connect to your accounting software?

The accounting system already records all those economic events that may have an impact on how your company, directly or indirectly, causes greenhouse gas emissions, uses precious water, or may help to close (or, accidentally, widen) the gender pay gap.

As soon as the modification of the EU accounting directive take effect, you will have to connect your financial accounts to your sustainability reporting.

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We start from the annual summary of supplier and buyer ledgers, or the trial balance that has this information.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries. It is easy to reconcile with US GAAP based documents.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity.

This way your annual report will be consistent, if you say in the financial part that you spend 1000 euro on energy, then we will calculate the greenhouse gas emissions based on KWh volume of the the energy that cost you 1000 euros.

New trends in controlling: the strategic and digital challenge

Wed, 08 Mar 2023 16:30:00 +0100

Reporting the impacts of the entire value chain.

16:30: Meet and greet
17:00: Short presentation
17:15: Discussion of your reporting

Why connect to your accounting software?

As soon as the modification of the EU accounting directive take effect, you will have to connect your financial accounts to your sustainability reporting.

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We start from the annual summary of supplier and buyer ledgers, or the trial balance that has this information.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries. It is easy to reconcile with US GAAP based documents.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity.

Sustainability measurement and reporting for the CFO - the case of the music and film industries

Wed, 08 Mar 2023 15:00:00 +0100

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🖱 Highlighted text: clickable link (to our project page.)

Introduction 2. Our Approach 3. Main Features 4. Connected Financial and Sustainability Reporting 5. Why are we developing it? 6. Is There a Film/TV Industry Version? 7. Questions

Introduction

Timeline

2019: European Green Deal and Sustainable Finance Disclosures Regulation.

2020: 2030 EU climate target (-55%); EFRAG to standardize connected financial and sustainability reporting (IFRS, GRI, SASB/IIRC, TCFD, WICI, UN).

2021: Strategy for financing the transition to a sustainable economy; CSRD announced (changes in EU accounting and audit law); Reprex Eviota concept based on our iotables 0.4.7, which was updated with environmental impact analysis.

2022: EU Taxonomy (“Climate Delegated Act” see: FAQ). Reprex Music Eviota with MusicAIRE and wins Hague Innovators Award Audience Prize; Horizon Europe Research & Innovation winner.

Future Timeline

2023: Corporate Sustainability Reporting Directive (CSRD); first 50,000 companies apply the new rules for the financial year 2024 (report in in 2025.) Investors, banks, insurance companies, granting organizations, corporate donors, even audiences want to see more and more proof of conducting sustainable business.

2024: CSRD for the first 50,000 companies.

2025: First mandatory connected reporting for 50,000 large companies and listed SMEs.

2026: The European Commission plans to extend the EU taxonomy to six environmental objectives and rules for about 50,000 companies by 2026. Many small companies will have to make mandatory disclosures and reporting.

Sustainability Reporting Architecture

Our approach

Cultural & Creative Sectors Industries Approach

Main Features

Connected Financial and Sustainability Reporting

In 2020 the European Commission requested technical advice, mandating the European Financial Reporting Advisory Group, EFRAG, to undertake preparatory work for the elaboration of possible EU non-financial reporting standards in a revised EU Non-Financial Reporting Directive (i.e., harmonizing financial reporting and audit with connected sustainability reporting) within the framework of the European Green Deal sustainable finance package and the Corporate Social Responsibility Directive.

Ongoing Standardization

🖱 Link: EUROPEAN LAB – Project Task Force on Preparatory Work for the Elaboration of Possible EU Non-Financial Reporting Standards

Why Are We Developing Eviota for Music?

CSRD/EFRAG Timeline in the EU

Is There A Film Industry Version?

Yes, it is coming! Ask for a demo on Email | Keybase | LinkedIn.

Questions?

Ask: Email | Keybase

LinkedIn: Daniel Antal | Reprex

Data Observatory Labs

Thu, 02 Mar 2023 18:12:00 +0100

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Jump directly to the work packages:

Or click next for the conceptual overview »

Short Conceptual Video

WP Project Coordination

1. Reprex aims to coordinate this project with a dedicated, experienced Creative Europe project manager who is familiar with the music and audiovisual creation.

2. Because of the project size and subsidy rate (60%) every partner must contribute to financing WP Project Coordination in proportion to their effective subsidies.

WP Sustainability

Extend the usability of Eviota (a Scope 2-3 music ESG reporting tool) and GreenEyes (Scope 1 film ESG reporting tool) to work with music, film, books, and publishing.
Introduce these new methods to business school and vocational training courses.
Get regulatory approval to use in the context of the green finance package.

WP Survey Recycling

Utilize the survey harmonization and recycling tools developed in music to be available for film, television, photography, and book publishing users.
Extend harmonized question banks, and remove interoperability and semantic barriers to reuse data from previous audience and policy surveys for these CCSIs.
Subsidize the initial costs in use to transfer from non-reusable market research to reusable, collaborative market research.

WP Heritage Reuse

Utilize the best practices from music archives, film archives, and private photography archives to remove copyright law, ethical, interoperability, and semantic barriers to mix archival/heritage and new content in music, film, and photography (including in books.)
Create a special-purpose record label and audiovisual distributor that specializes in difficult, out-of-commerce/archival/commercial derivative work distribution on global streaming platforms.
Build a best practice for the legal and ethical public performance of derivative works that are made from archival/heritage (which were not deposited with the intent to be commercially used or widely circulated) and new creations.

WP AI & Big Data That Works For Everyone

Utilize the best practices from data feminism, music, and film distribution of niche, marginalized content, and create a general framework that reduces inequalities created by lower data representation (of women, small countries, small languages) that result in new injustice on algorithmic platforms. See publication.
Build new music, film, and photography information services that reduce the data imbalances, and make small language (for example, Estonian) or historically underrepresented (for example, female artists) more likely to be recommended by AI-driven algorithmic platforms such as YouTube, Spotify, or Amazon.
Create open source solutions and open knowledge that enables small, independent music, documentary, photography, and book publishers to build audiences, and monetize content with big data and AI algorithms that work for everyone, not only male artists, English language content, and mainstream works.

Questions?

Ask: Email | Keybase

LinkedIn: Daniel Antal | Reprex

Data Observatory Labs

Thu, 02 Mar 2023 13:40:00 +0100

Check out our slides. We are still looking for certain partners.

We want to build a network of Innovation Labs, connecting labs and businesses that bring these novel scientific and innovation results nearer to civil society actors, individual creators, and microenterprises in services. We bring data-, sustainability-, rights management innovation, and novel distribution models nearer to the grassroots level of creation. We want to transform scientific and technical development into business development available for small creative organizations without a data engineering/science function.

Table of Contents

WP 1 Coordination

Reprex aims to coordinate this project with a dedicated, experienced Creative Europe project manager who is familiar with the music and audiovisual creation.
Because of the project size and subsidy rate (60%) every partner must contribute to financing WP Project Coordination in proportion to their effective subsidies.

WP Survey Recycling

Utilize the survey harmonization and recycling tools developed in music to be available for film, television, photography, and book publishing users.
Extend harmonized question banks, and remove interoperability and semantic barriers to reuse data from previous audience and policy surveys for these CCSIs.
Subsidize the initial costs in use to transfer from non-reusable market research to reusable, collaborative market research.

WP Heritage Reuse

Utilize the best practices from music archives, film archives, and private photography archives to remove copyright law, ethical, interoperability, and semantic barriers to mix archival/heritage and new content in music, film, and photography (including in books.)
Create a special-purpose record label and audiovisual distributor that specializes in difficult, out-of-commerce/archival/commercial derivative work distribution on global streaming platforms.
Build a best practice for the legal and ethical public performance of derivative works that are made from archival/heritage (which were not deposited with the intent to be commercially used or widely circulated) and new creations.

WP AI & Big Data That Works For Everyone

Utilize the best practices from data feminism, music, and film distribution of niche, marginalized content, and create a general framework that reduces inequalities created by lower data representation (of women, small countries, small languages) that result in new injustice on algorithmic platforms. See publication.
Build new music, film, and photography information services that reduce the data imbalances, and make small language (for example, Estonian) or historically underrepresented (for example, female artists) more likely to be recommended by AI-driven algorithmic platforms such as YouTube, Spotify, or Amazon.
Create open source solutions and open knowledge that enables small, independent music, documentary, photography, and book publishers to build audiences, and monetize content with big data and AI algorithms that work for everyone, not only male artists, English language content, and mainstream works.

Potential partners

Creative enterprises with good YouTube (+Vimeo and other) distribution and rights management track record.
Market research, particularly survey based in film and television.
Services for private collections/collectors.

Who are we?

In 90 secs: conceptual introduction

⚙️/ subtitles/ 🇳🇱 🇬🇧 🇧🇦 🇨🇿 🇭🇺 🇩🇪 🇱🇹 🇫🇷 🇸🇰 🇪🇸 🇹🇷 + Catalan.

Music Eviota

Tue, 28 Feb 2023 11:13:00 +0200

Next: ️> or Space | Previous :️<
Start: Home | Finish: End
Overview: Esc| Speaker notes: S
Zoom: Alt + Click️| Fullscreen: F

🖱 Highlighted text: clickable link (to our project page.)

Introduction 2. Our Approach 3. Main Features 4. Connected Financial and Sustainability Reporting 5. Why are we developing it? 6. Is There a Film/TV Industry Version? 7. Questions

Introduction

Sustainability Reporting Architecture

Our approach

Main Features

Connected Financial and Sustainability Reporting

Ongoing Standardization

🖱 Link: EUROPEAN LAB – Project Task Force on Preparatory Work for the Elaboration of Possible EU Non-Financial Reporting Standards

Why Are We Developing Eviota for Music?

CSRD/EFRAG Timeline in the EU

Is There A Film Industry Version?

Yes, it is coming! Ask for a demo on Email | Keybase | LinkedIn.

Questions?

Ask: Email | Keybase

LinkedIn: Daniel Antal | Reprex

LineCheck, Milano, IT

Thu, 24 Nov 2022 15:15:00 +0000

Table of Contents

Green Deal, this time for real

Daniel Antal, co-founder of Reprex will participate in the panel about on Thursday, November the 24th at 3.15pm about environment and sustainability in the music industry and introduce Eviota, our simplified, connected financial and sustainability reporting tool.

At LineCheck X, you can find out more about our projects

You can get a free, total value chain based sustainability report. (Get in touch with us before 18 November)
We will demonstrate how you can eradicate packaging waste from your music events by making the packaging edible.
And you can find out how we are trying to find where energy is going down the sewage, literally, with Thermowatt and the Green Deal Data Observatory.

Beta test our sustainabilitiy reporting tool

We are looking for beta testers for our simplified sustainability report that is made from your trial balance. We sign and NDA about your accounting data if you test with us, and you can test with older data, too. Beta testing is free.

Our solution benefits the music MSMEs and CSOs in several ways:

The European Commission estimates that the cost of connecting sustainability and finanical reporting will cost on average €10,000 for corporations. We want to bring down the voluntary reporting costs for MSMEs below €500 euro to benefit from green loans, green insurance and other green financing.
It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollutions, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. We are also showcasing harmonized gender inequality data collection with our other project (see below.)

Digital Music Observatory: survive in the music business without a data engineer

⚙️/ subtitles/ 🇳🇱 🇬🇧 🇧🇦 🇨🇿 🇭🇺 🇩🇪 🇱🇹 🇫🇷 🇸🇰 🇪🇸 🇹🇷 + Catalan. If you are there, please leave a 👍, too :)

We will introduce Surveyharmonies, a survey recycling and survey harmonization tool. You can participate in our international gender bias survey in January 2023. Our team will also participate in the KeyChange Creative Lab on Friday, 25 November at 11.00.
You can learn about our Listen Local project, which helps local music ecosystems remain visible on global platforms.
We will offer you a cup of tea or coffee in an edible cup.

Harmonizing surveys on gender (in)equaliaty

You can create better surveys with less cost: you only need to ask the information, or change of information, that is not included in our harmonized datasets. Shorter, better questionnaires, smaller samples sizes, huge cost savings.
When you make questionnaire-based research, you immediately get a history (the same question asked years ago) and an international comparison (the same question asked in other countries.)
Often you do not even have to pay for the survey, because somebody else has already made a similar taxpayer funded research and we can just get the data for you.

Survey harmonization is a powerful research tool to increase the usability of questionnaire-based empirical research. Read more on our blog.

Reprex Wins Audience Prize in The Hague Innovators Challenge

Tue, 15 Nov 2022 18:00:00 +0100

Reprex won the Audience Prize in The Hague Innovators Challenge - with about as many votes as the 7 other contenters combined. We really wanted to prove that big data can work for small organizations, too.

Congratulations for WECO for the startup prize, and our partners, BeeSage, for the pre-startup price. You will hear from BeeSage and Reprex more in the near future.

The winners of our yearly The Hague Innovators challenge are announced! These three startups are shaking up their industry:
1. #WECO
2. #Beesage
3. #Reprex
Congratulations to all of them! 🎉#doinggoodanddoingbusiness #TheHagueInnovators pic.twitter.com/GnRdjRrL5P
— ImpactCity (@impactcity) November 15, 2022

Reprex Nominated for The Hague Innovators Award

Tue, 15 Nov 2022 09:00:00 +0000

Reprex is a finalist for The Hague Innovators Award 2022, and the prize of the audience, in the startup category with our respectable competitors, Sibö, WECO, STHRIVE and ECOBLOQ.

The transition towards a sustainable and inclusive economy depends on collaboration. That is why we are bringing together startups, scale-ups, investors, policymakers, and other impact makers from around the world in The Hague for the 7th edition of ImpactFest.

Please share our video message on YouTube among your colleagues and friends.

With the The Hague Innovators Challenge, the municipality of The Hague challenges startups, scale-ups, and students to present their innovative ideas for global issues, as described in the UN Sustainable Development Goals (SDGs).

💜 We ask you, humbly, to support us with a vote or by sharing our appeal. We're part of the #opensource, #opendata, and #openscience movement that depends on your support to stay online and thriving, but many of our users or simply look the other way🤦🏻‍♀️https://t.co/Qcdh7saPpW
— Competition Data Observatory (@CompDataObs) November 6, 2022

The nominees receive a substantive program aimed at further development and the growth of the plan or organization. At the end of the substantive program, all nominees submit a definitive action plan and this is pitched to a professional jury. The jury chooses one winner per category.

Big Data for All: Building Collaborative Data Observatories

Thu, 03 Nov 2022 17:30:00 +0000

Reprex’s co-founder, Daniel Antal talked in the Eindhoven Innovation Café about these issues. You can watch the recorded version of the the livestream that starts at 5 minutes and 22 seconds:

This is a past event. Check out our forthcoming events or write to Daniel Antal or to antaldaniel. Or send an email.

The event invitation text and links

Big data and AI creates inequalities. It puts historically marginalized people, like ethnic minorities, and womxn, at a disadvantage. Because AI and checking on AI require plenty of data, usually only giant corporations, the wealthiest governments, and university entities can make it work for them. Reprex is a Hague-based, international startup that wants to impact various sustainable development goals by enabling smaller organizations to join their smaller datasets, use open data, create linked available data, and collaboratively make a change.

Reprex is a finalist for the Hague Innovation Award for impact startup (please 🙏, vote for us!). Daniel Antal, one of the co-founders, will talk about their approach to building an international coalition of music organizations to pool data and challenge data monopolies using organizational techniques, a collaboration ethos, and data from the open-source developer world.

Using the example of independent music creators, who often find themselves in a position where it is more expensive to claim their money from global platforms, he will talk about how to reduce inequalities in the world of big data and AI with collaboration on web 3.0. In the Q&A he will take questions on how to apply their know-how, and generally linked open data to other art+tech or creative segments or problems for which everybody is too small, like meeting the Paris Accord greenhouse gas targets bit by bit, small company by small company.

In the Q&A, we can discuss many things

How can Reprex help an individual creator in music, or in fashion and design, or any other area?
What sort of help it can give to researchers, research institutes, specialist consultancies, law firms, and other knowledge-based actors?

What sort of partners is Reprex looking for in Eindhoven?

Check out our projects

Digital Music Observatory and Listen Local
Cultural & Creative Sectors and Industries Observatory and short call for potential partners.
Green Deal Data Observatory and simple, connected, financial and sustainability reporting for creative enterprises and others

Reprex: the impact startup

Check out our accomplishments since the foundation in 2020

iotables: Integrate Data from Reliable Statistical Sources for Economic and Environmental Impact Analysis

Sat, 24 Sep 2022 08:13:55 +0200

Download iotables

The iotables R package is an open-source, scientifically validated package that collects and integrates data from reliable statistical sources and performs economic and environmental impact analysis. It is the backbone of our connected financial-sustainability reporting tool, Eviota, because it can analyze the value chains of 64 industries in every European country for free. It is your starting point to calculate employment, tax, or greenhouse gas multipliers for various policy actions in your country.

The 0.9.1 version of iotables was released today on CRAN. This new minor release contains a bug fix reported by a user and some documentation improvements. Check out our product page and our examples.

The iotables package works with the open-source R statistical environment. We programmed every example of the Eurostat Manual of Supply, Use and Input-Output Tables, which can be used both as a control tool for our package and as a comprehensive, extended handbook on use.
We have also started to meet the demands of a more global audience by adding more and more examples from the Handbook on Supply and Use Tables and Input-Output Tables with Extensions and Applications published by the United Nations. Our goal is to make both our iotables a free analytic and data processing tool and our premium Eviota ESG reporting premium solution applicable anywhere in the world.

# From CRAN:
install.packages("iotables")

# From Github (development version)
devtools::install_github("rOpenGov/iotables")

# with vignettes:
devtools::install_github("rOpenGov/iotables", build_vignettes: TRUE)

The iotables tool has hundreds of technical and professional users in the world. We know that it is not for the faint heart. In 2022 we started the development of a tool that will create impact assessments for small companies or civil society organizations without the need to learn and use R.

Reprex

Wed, 21 Sep 2022 16:00:00 +0200

Big Data Creates Inequalities

Only the largest corporations, best-endowed universities, and rich governments can afford data collection and processing capacities that are large enough to harness the advantages of AI.

Fullscreen: F

Next: ️> or Space | Previous :️<
Start: Home | Finish: End
Overview: Esc| Speaker notes: S
Zoom: Alt + Click 🖱️

Big data that works for all

Reprex: No matter how big is the problem or how small is your team, we fill your reports, dashboards, newsletters, books with data and its visualization.

Connected financial and sustainability reporting based on open data

Eviota: We map your material impacts in your value chain and connect it with environmental or social data that is re-used from the public sector.

Data problems: Reprex

Most SMEs, and civil society organizations do not have a data scientist/engineer in their team, maybe not even an IT person or a HR professional to make such a hire.
When these organizations must solve novel problems, like connecting their financial accounts with environmental and social impact data or connecting to automated transaction systems (like in music), they need novel solutions that do not require managing a database within their organization.

Data problems: Eviota

Most SMEs, and civil society organizations do not have a data scientist/engineer in their team, maybe not even an IT person or a HR professional to make such a hire.
To access green bank loans, insurance products, subsidies, or investments, or to keep track of their sustainability goals in line with the Paris Accord or gender equality plan, organizations must connect their accounting system to external environmental data. We connect their accounts with impact estimates from reliable scientific sources.

Data problems (examples)


	The cost of questionnaire-based market research (survey) is increasing exponentially and offers mediocre results without an enormous question bank and harmonization with other surveys.(See 🖱 blogpost)
	Manual data acquisition is an error-prone and boring task for humans that requires many working hours (often not credited in consultancies, law firms, or research institutes.)
	Wrangling spreadsheet tables or word processor documents by people without data knowledge is the 🖱 data Sisyphus.

Our solution: Reprex

We create data ecosystems with the modernization of the EU/OECD/UN-endorsed 'data observatory' concept. Our data observatory 3.0 uses the knowledge graphs of the web of data.
We acquire and process data on a scale in our data observatories. We acquire and process data on a scale in our data observatories. Our approach significantly reduces the cost of data acquisition and opens invisible, reliable governmental and scientific data sources. We are currently building five observatories, and one of them is already mature enough to be considered for official EU recognition (serving the music industry).
We provide applications, for example, our Eviota application, which connects financial accounts with environmental and social data, and crates reliable indicators and benchmarks for the requirements of the sustainable finance package.

Our solution: Eviota (Non-Financial)

We create data ecosystems with the modernization of the EU/OECD/UN-endorsed 'data observatory' concept. Our Green Deal Data Observatory uses the knowledge graphs of the web of data and gives access to reliable, often unseen, hard-to-access ESG data sources.
We acquire and process data on a scale in our data observatories. Our approach significantly reduces the cost of data acquisition and opens invisible, reliable governmental and scientific data sources.
We provide applications, for example, our Eviota application, which connects financial accounts with environmental and social data, and crates reliable indicators and benchmarks for the requirements of the sustainable finance package. Unlike our competitors, we can serve SMEs, too, at a competitive cost.

Our solution: Eviota (For Banks)

We create data ecosystems with the modernization of the EU/OECD/UN-endorsed 'data observatory' concept. Our Green Deal Data Observatory uses the knowledge graphs of the web of data and gives access to reliable, often unseen, hard-to-access ESG data sources.
We acquire and process data on a scale in our data observatories. Our approach significantly reduces the cost of data acquisition and opens invisible, reliable governmental and scientific data sources.
We provide applications, for example, our Eviota application, which connects financial accounts with environmental and social data, and crates reliable indicators and benchmarks for the requirements of the sustainable finance package. We are validating our product in the regulatory sandbox of a central bank to show that we provide a cost-effective solution to many regulatory problems opened by the new [sustainable finance package of the EU](https://finance.ec.europa.eu/publications/sustainable-finance-package_en).

UNIIQ

Objectives, including product roadmap (technology/time/money)
Schematic overview of developments since inception

Market

Competition

Know-how and integration of open source components

Reprex has a special know-how to map and connect private datasets managing the boundaries of organizations that often have conflicting interests. Our know-how was developed over 10 years, and the data of about 60, often conflicting music industry actors in 12 countries.
Our team has many years of experience with working public sector information reuse, or 'open data', and have built reliable open source software to process legally open, not readily downloadable, and very valuable information that is not available for market vendors.
We use RDF (linked open data) and other technologies to link scattered small data to big data; we use our own R libraries to test and process various data into reliable statistical data or indicators.
Based on our unique data access and software we are developing the Eviota App to connect financial accounts and environmental, social and governance data.

Team [rewrite with GDO]


	The two co-founders, 🖱 Daniel Antal, CFA and 🖱 Andrés García Molina, PhD, and the core team manage the ecosystems’ development, develop knowledge management, and direct the software development. 🖱 Team on full screen
	Each observatory has a broader team of users, data and knowledge curators, and developers. The most developed 🖱️ Digital Music Observatory has 16 institutional users and a team of about 20 music and data professionals. The newer observatories have a smaller, initial service development and data curatorial team.

Timeline

Inception: Yes!Delft AI+Blockchain Product Market Fit Validation with the Digital Music Observatory
New observatory development started with computational antitrust, ESG reporting, and
Several, peer reviewed software releases
DMO has more than 20 curators, 3 million euro budget for 3 years, increasing user base.
Eviota and the Green Deal

We are part of rOpenGov and have access to very special knowledge working with national accounts data and ESG data used by governments to keep track with the Paris Accord. We can access data cheaper, faster, better than our competitors.
We have a know-how to manage conflicts of interest and very complex data use rights.

Data observatories 3.0

Reprex is offering shared data ecosystems. Our observatories are great solutions for organizations without a data specialization:


🌳 Organizations that cannot afford to build a large enough data team to sustain consistent, extensive data collection and processing (many large institutions and companies)
🪴 Who cannot hire even a single data engineer or a data scientist (medium-sized companies, NGOs)
🌱 Who do not even have a permanent IT function (about 2 million European small enterprises and civil society organizations)


	The European Union, the World Bank, OECD, and UN have facilitated the creation of more than 80 so-called ‘data observatories’ to help companies, researchers, NGOs, and governments systematically collect data and knowledge.
	We are currently building one prototype for the European Music Observatory financed by the European Union and music industry players (cc 3-4 million euros.) We would like to take over existing or start new observatories in 2 years at least 5)
	Our observatories are competitive, because they use high-quality open source scientific software; they exploit the new Data Governance Act and Open Data Directive, deploy web 3.0 data synchronization, and offer great value-added research products.

Platform products	Value added data applications
The European Union, the World Bank, OECD, and UN have facilitated the creation of more than 80 so-called ‘data observatories’ to help companies, researchers, NGOs, and governments systematically collect data and knowledge.	The different observatories offer different types of knowledge products, such as statistical yearbooks, various apps, and database access.
Most of them use web 1.0 technologies, inefficient knowledge accumulation. Already 20 of them have been discontinued.	We are developing software solutions that exploit our platforms: we harmonize surveys, statistical data, automate research reporting, elements of market monitoring or ESG reporting.
We are currently building one prototype for the European Music Observatory financed by the European Union and music industry players (cc 3-4 million euros.) We would like to take over existing or start new observatories in 2 years at least 5)	Each observatory gives us intimidate customer access to 3-4 large universities, 1-2 large consultancies, and various specialist institutions.

Marketing strategy


	Buma/Stemra like copyright management agencies, music export offices, festivals and venues, University of Amsterdam, Sant’Anna, Economic University of Bratislava, ministries of culture, grant agencies.
	University of Amsterdam, Europeana, Sant’Anna, Hungarian Film Fund
	Connected financial and sustainability reporting: bank consultancies, big four audit companies, large environmental NGOs.
	Antitrust agencies, law firms, economics consultancies working with mergers and other competition related issues.

Target market size


The observatory platforms usually have a build-up cost of about 3-5 million euros and an annual running costs of 0.1-3 million euros.	We hope to gain at least 10% global market share on the observatory platform management market to pay our basic data science team and R&D.
Our existing observatories give us access to the market and public surveying markets (cc € 30-40 bn in the developed nations), particularly to its software component (€ 10 billion euros).	retroharmonize integrates pre-existing questionnaire-based surveys and new surveys. We see interest from the biggest global players.
Our existing observatories gave us access to environmental impact assessment and currently we build an ESG reporting tool with a central bank, a value bank, and a big four company.	Connected ESG reporting has a €4 bn market in the EU alone, and our Eviota product is very competitive. Due to regulatory pressure, we can harvest a decent share if we are able to attract venture capital.

The observatory platforms usually have a build-up cost of about 3-5 million euros and an annual running costs of 0.1-3 million euros.

We hope to gain at least 10% global market share on the observatory platform management market to pay our basic data science team and R&D.

Our existing observatories give us access to the market and public surveying markets (cc € 30-40 bn in the developed nations), particularly to its software component (€ 10 billion euros).

retroharmonize integrates pre-existing questionnaire-based surveys and new surveys. We see interest from the biggest global players.

Our existing observatories gave us access to environmental impact assessment and currently we build an ESG reporting tool with a central bank, a value bank, and a big four company.

Connected ESG reporting has a €4 bn market in the EU alone, and our Eviota product is very competitive. Due to regulatory pressure, we can harvest a decent share if we are able to attract venture capital.

Team


	The two co-founders, 🖱 Daniel Antal, CFA and 🖱 Andrés García Molina, PhD, and the core team manage the ecosystems’ development, develop knowledge management, and direct the software development. 🖱 Team on full screen
	Each observatory has a broader team of users, data and knowledge curators, and developers. The most developed 🖱️ Digital Music Observatory has 16 institutional users and a team of about 20 music and data professionals. The newer observatories have a smaller, initial service development and data curatorial team.

Traction


💻 Our free scientific software products have a steadily growing user base (several thousand users globally.)
📈 We are able to convert this to paying research automation services at a higher growth rate.
🚀 We won four competitive tenders this year, but we feel that the slow tendering/acquisition/cash cycle is hampering our growth, we see far more opportunities that we can serve. Therefore we are looking for investors.

Funding


We have a good track record in EU tenders, but we would like to build up this reputation in the Netherlands, too, mainly for new platforms.
We help our non-profit users, such as cultural heritage organizations, music export offices, collective rights management agencies to get funding to use our platforms and services
Our for profit-users need a more polished, user-friendlier front-end. Some are interested in joint ventures (like exploiting our survey capabilities). Venture capital would be preferred, as demand outstrips growth.

Do it Smarter

They usually do not exchange standard data with statistical agencies, they are not synchronized on knowledge graphs of the Europeana or national libraries, and their research output is usually not to be found on open science repositories.
The Hague is the winner of the World Smart City Award 2021, and we would like to attract the planned European Music Observatory and other, EU/UNESCO recognized institutions into the town building on the innovations of Reprex and the ecosystem of the Hague.

Questions?

Email | Keybase

LinkedIn: Daniel Antal - Reprex

Home - One Pager ImpactCity Startup Support XL

Smart Policy Documents

Sun, 04 Sep 2022 00:00:00 +0000

Stop uploading your work onto the web 2.0 in a pdf, epub, or word file. Build a self-refreshing resource that re-refreshes the statistics, legal texts, tables, visualizations, footnotes and bibliography instead. This way you’ll have a greater impact: you’ll connect to global knowledge graphs, and your work can be reused much better.

Our “smart document” is always live: it contains code that searches for data updates or changes in the law. It is a document that includes reproducible research code and makes sure that your document contains the latest information. It is a resource that, when uploaded to the web 3.0, cannot only be downloaded, but finds itself its audience, places itself into global libraries, data exchanges, automated websites.

📊 Downloads or updates reliable statistical data, utilizing the SDMX standard, for example, Eurostat datasets, which is placed into your text as a table, a data visualization, and its source as a footnote and bibliographic citation.

⚖️ Updates legal citations from Eur-LEX, i.e. contains the latest form of policy or legal documents, and flags for the researchers any important changes in the lifecycle of the citation (legal text goes out of force, amended, important court decisions get connected).

🎨 Exchange cultural Digital Objects with Europeana or other cultural heritage or knowledge organizations, such as out-of-print books, music works, or 3D design objects.

We admit that at this point we mainly serve policy wonks or scientists who are very tech savvy. But we are working hard to package it into a highly usable end-user product.

What is reproducible research?

Reproducible research is what it is: it can be reproduced. Easier said than done. We create open source software that accompanies the entire research workflow, from the fieldwork or big data collector, downloading documents via the analysis, visualizations, citations, web dissemination and publication. We do all those little steps that computers do better than humans: logging, documenting, testing, validating, archiving. This allows our users to do what humans do best: think.

Our data observatories are open scholarly platforms that support reproducible research. Our policy documents bring this functionality to your personal computer, and make it available for an NGO, a lawyer, a consultant, or an individual researcher.

Feature list

Each external resource, i.e. a policy document, a legal text, a cultural heritage object, a catalog entry, a dataset is clearly identified and downloaded, processed for the document into a footnote, citation, table or standard visualization.
New artifacts, such as visualizations, tables, receive a unique document object identifier (DOI) that clearly states their source, the person who oversaw the creation, the date, and the version.
These artifacts are added into the text in pre-defined places, such as the “Chart on GDP growth” placeholder containing the latest chart on GDP growth, while the citation in the bibliography contains the new version of the artifact (i.e. the chart with a DOI.)
The artifacts, such as datasets, tables, visualizations, codebooks, reference lists, are uploaded with a new version to an open science repository such as FigShare or Zenodo. This ensures that the creator’s intellectual rights are respected, and different, unauthorized versions of the table, chart, or other artifact in unknown news outlets, social media, are not connected to the creator or publisher.
Zenodo, via OpenAIRE, connects your work with global libraries, and if they meet the quality criteria, they are often immediately placed into the catalogues of global libraries. Our smart policy documents are not only uploaded onto the web, but connect to global knowledge graphs, or the web 3.0.
The author and publisher of the ‘smart policy document’ receives notifications of significant changes, i.e. non-trivial new data at Eurostat, or non-trivial connecting policy documents, court decisions, which should trigger a revision of the smart policy document’s textual contents. Needless to say, behind the scenes, we handle those trivial changes, too.
After human review of the new version, it is created as Word docx, EPUB, and PDF file, and with a new version and DOI, it is uploaded to open science repositories that synchronize this publication with global library systems.

Smart Reporting Resources

Sun, 04 Sep 2022 00:00:00 +0000

🎨 Exchange cultural Digital Objects with Europeana or other cultural heritage or knowledge organizations, such as out-of-print books, music works, or 3D design objects.

We admit that at this point we mainly serve policy wonks or scientists who are very tech savvy. But we are working hard to package it into a highly usable end-user product.

What is reproducible research?

Feature list

Each external resource, i.e. a policy document, a legal text, a cultural heritage object, a catalog entry, a dataset is clearly identified and downloaded, processed for the document into a footnote, citation, table or standard visualization.
New artifacts, such as visualizations, tables, receive a unique document object identifier (DOI) that clearly states their source, the person who oversaw the creation, the date, and the version.
These artifacts are added into the text in pre-defined places, such as the “Chart on GDP growth” placeholder containing the latest chart on GDP growth, while the citation in the bibliography contains the new version of the artifact (i.e. the chart with a DOI.)
The artifacts, such as datasets, tables, visualizations, codebooks, reference lists, are uploaded with a new version to an open science repository such as FigShare or Zenodo. This ensures that the creator’s intellectual rights are respected, and different, unauthorized versions of the table, chart, or other artifact in unknown news outlets, social media, are not connected to the creator or publisher.
Zenodo, via OpenAIRE, connects your work with global libraries, and if they meet the quality criteria, they are often immediately placed into the catalogues of global libraries. Our smart policy documents are not only uploaded onto the web, but connect to global knowledge graphs, or the web 3.0.
The author and publisher of the ‘smart policy document’ receives notifications of significant changes, i.e. non-trivial new data at Eurostat, or non-trivial connecting policy documents, court decisions, which should trigger a revision of the smart policy document’s textual contents. Needless to say, behind the scenes, we handle those trivial changes, too.
After human review of the new version, it is created as Word docx, EPUB, and PDF file, and with a new version and DOI, it is uploaded to open science repositories that synchronize this publication with global library systems.

Application Development

Tue, 30 Aug 2022 13:52:00 +0200

We are building and ecosystem of open data, open software and trustworthy algorithms around our data observatories. We collaborate with scientific software developers, and their communities, such as rOpenGov. Our software tools have many thousand users, but they require coding skills. We will soon start to deploy more user-friendly applications that can be used by sustainability reporting professionals, or lawyers preparing factual green disclosures.

Our Eviota project, which builds a multi-language reporting interface for preventing greenwashing. It will have a user-frontend for our environmental (and economic) impact assessment software tool, iotables. The iotables R package implements most of the functionality laid out in the economic and environmental input-output analysis features in the Eurostat and the respective UN statistical technical guidance on the topic.
Our smart document are always alive: they contain code that searches for data updates or changes in the law. It is a document that includes reproducible research code and makes sure that your document contains the latest information. It is a resource that, when uploaded to the web 3.0, cannot only be downloaded, but finds itself its audience, places itself into global libraries, data exchanges, automated websites.

Eviota

Tue, 30 Aug 2022 13:52:00 +0200

Reporting the impacts of the entire value chain.

Our minimum viable product will create sustainability reports (or report components) for greenhouse gases and sustainable water use with applying the Global GHG Accounting & Reporting Standard for the Financial Industry and EFRAG’s proposed concept on connecting European accounting standards and information with sustainability. We will help small music organizations in their sustainability reporting, where detail data and reporting standards are only available for greenhouse gas emissions. The Music Eviota project is supported by the MusicAIRE.

Open collaboration

Our project is based on open collaboration. Our proposal, if funded, will provide us with resources to supply further music businesses, music civil society organizations and researchers with high-quality data (during the duration of the project for free.) We are already looking for interested parties to put our data and research projects into use and validate their usability and quality in real-life policy or business development scenarios.

Why are we developing this service?

Requirements for connecting financial and sustainability reporting.

Our solution benefits the music MSMEs and CSOs in several ways:

It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollutions, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. Our previous research shows that particularly the live music industry that needs a large workforce, suffers from underuse of, and discrimination of female workers in various technical and even managerial roles. Our system will be able to flag risks of gender paygap and related issues in the entire value chain and of course, provide good benchmarks for internal activities.

Our review of the environmental, social and governance risk management (ESG sustainability management) suggests that complying with ESG standards is not only a pre-requisite to get cheaper loans (less important) and cheaper insurance (very important in live music), but also a requirement by corporate sponsors of events, and even a large part of the audience. While some music organizations already provide sustainability reporting, they are not standardized and are less factful as they are not connected to accounting information at every point. Our solution aims to give much credibility to both the sustainability reports and non-financial disclosures of the financial reports (which are not mandatory for MSMEs but increase their trustworthiness on an elective basis if they are included.)

Growing interest for ESG in select countries.

dataset: Create Interoperable FAIR Datasets

Thu, 11 Aug 2022 00:00:00 +0000

Interoperable, FAIR datasets

The primary aim of dataset is create well-referenced, well-described, interoperable datasets from data.frames, tibbles or data.tables that translate well into the W3C DataSet definition within the Data Cube Vocabulary in a reproducible manner. The data cube model in itself is is originated in the Statistical Data and Metadata eXchange, and it is almost fully harmonzied with the Resource Description Framework (RDF), the standard model for data interchange on the web[^1].

A mapping of R objects into these models has numerous advantages:

Makes data importing easier and less error-prone;
Leaves plenty of room for documentation automation, resulting in far better reusability and reproducability;
The publication of results from R following the FAIR principles is far easier, making the work of the R user more findable, more accessible, more interoperable and more reusable by other users;
Makes the placement into relational databases, semantic web applications, archives, repositories possible without time-consuming and costly data wrangling (See From dataset To RDF).

Our package functions work with any structured R objects (data.fame, data.table, tibble, or well-structured lists like json), however, the best functionality is achieved by the (See The dataset S3 Class), which is inherited from data.frame().

Contact

For contact information, contributors, see the package homepage.

Code of Conduct

Please note that the dataset project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Eviota for Music

Fri, 01 Jul 2022 00:00:00 +0000

The European Union is introducing a ground-breaking accounting standard which will call on about 49,000 enterprises to assess their ‘double materiality’, i.e. both the financial and sustainability impacts of their own activities, as well as those of their buyers and suppliers. Does your company buy cattle or sheep products to produce meat? You must consider the methane emissions of your suppliers. Do you manufacture cars? You must account for the fuel emissions of the buyers and users of your product.

Why Eviota?

We named Eviota after a small fish that lives symbiotically among the tentacles of the mushroom coral. It not only rhymes with our software, iotables, but it refers to the fragile ecosystem of coral reefs: miraculous and beautiful forms of life under threat from global warming. The first step of saving our planet is to objectively detect where your organization’s stakeholders – suppliers, buyers, workers, technology – leave an impact on the environment.

Creating connected sustainability reports has many advantages.

It shows consumers, donors, and buyers that the company cares for sustainable growth.
The organization can ask for grants related to increasing sustainability.
In the EU, the company will be eligible for cheaper green loans, green insurance, and green investments.
Large corporations, including music event donors, may require their supply chain to produce credible sustainability metrics.

There are some difficulties that we want to overcome in this project.

Connected financial and sustainability reports are complex, they require plenty of data, and mandatory only for ’large’ corporations. Just like small companies can make ‘simplified tax returns’ and ‘simplified financial reports’, we aim to create a less complex and cheap simplified, connected financial and sustainability report.
Due to the high complexity, they take a long time to create and are costly: the European Commission estimates their total cost at €10,000.

Table of Contents

Our approach

To reduce the data need, we only take into consideration cost/income groups that meet the financial materiality treshold, i.e. 3% of your total costs or total business-to-business sales.

Why the trial balance?

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We do not need the ledger, only the annual account summaries of revenues and expenses.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity. This way your annual report will be consistent, if you say in the financial part that you spend 1000 euro on energy, then we will calculate the greenhouse gas emissions based on KWh volume of the the energy that cost you 1000 euros.

How does it work?

We use the trial balance (see examples of a trial balance), because that is a standard document that your accountant has about all your purchases and all your sales.

the annual (simplified) balance sheet
the annual (simplified) profit and loss statement

Process: From your data to the final report

We sign a non-disclosure agreement.
You send us your trial balance.
We create a first draft of your carbon footprint. We categorize your suppliers (costs) and buyers (income) into 64 categories for which we have reliable data. See methodology below.
Most of our calculations are made with iotables, our scientific and open source software. We rely on open data from the Green Deal Data Observatory, which in turn processes reliable data of Eurostat and the European Environmental Agency in readily usable format. The use of open source reporting tools and open data helps keep our costs low.
We set up a short call with you and your accountant to make some clarifications.
We provide you the final report.

What is the report?

The making of an NFD is not mandatory for small- and medium sized companies and NGOs that usually produce simplified financial reports.
It is two paragraphs of factual text, accompanies with a table and chart about how much greenhouse gases (or other pollutants) are created by your activities.
A sustainability report is a first step to factual sustainability management and avoiding greenwashing. When you know factually how your activities (including purchases from your suppliers) cause greenhouse gas emissions (or contribute to the gender paygap), you can devise steps to reduce your negative impact, or increase your positive impact.
We work with reliable expert advice so that you can act in a credible way, and make credible promises to your customers, your audience, your donors, granting agencies, bank, insurance, or investors.

Methodology

We follow the CPA classification for your suppliers and corporate buyers. See Statistical Classification of Products by Activity Some categories, like B MINING AND QUARRYING are aggregated, i.e. we cannot make a distintion among various mining activities. In service industries this is not required.
We use the same data for comparators that states use to monitor the Paris Accord. We use the categories of the System of National Accounts, which is harmonized on the level of the EU and the level of the UN. In 2022 we only work with EU and candidate countries that follow the EU version, and we’ll adjust our software in 2023 for the rest of the world.
Our sustainability methodology is based on the Global GHG Accounting & Reporting Standard for the Financial Industry.
We follow the EFRAG’s Proposals for a Relevant and Dynamic EU Sustainability Reporting Standard Setting (pdf download) because this will be the basis of future, mandatory reporting standards in Europe.
We will help small music organizations in their sustainability reporting, where detail data and reporting standards are only available for greenhouse gas emissions.

The Music Eviota project is supported by the MusicAIRE.

Open collaboration

Why are we developing this service?

Requirements for connecting financial and sustainability reporting.

Our solution benefits the music MSMEs and CSOs in several ways:

It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollution, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. Our previous research shows that particularly the live music industry that needs a large workforce, suffers from underuse of, and discrimination of female workers in various technical and even managerial roles. Our system will be able to flag risks of gender paygap and related issues in the entire value chain and of course, provide good benchmarks for internal activities.

Growing interest for ESG in select countries.

Future plans: Social Sustainability and Anti-Bribary

MusicAIRE Green Recovery in the Music Sector

Co-funded by the European Union

statcodelists: Use Standardized Statistical Codelists

Tue, 28 Jun 2022 00:00:00 +0000

Retrospective data harmonization

The aim of retroharmonize is to provide tools for reproducible retrospective (ex-post) harmonization of datasets that contain variables measuring the same concepts but coded in different ways. Ex-post data harmonization enables better use of existing data and creates new research opportunities. For example, harmonizing data from different countries enables cross-national comparisons, while merging data from different time points makes it possible to track changes over time.

Retrospective data harmonization is associated with challenges including conceptual issues with establishing equivalence and comparability, practical complications of having to standardize the naming and coding of variables, technical difficulties with merging data stored in different formats, and the need to document a large number of data transformations. The retroharmonize package assists with the latter three components, freeing up the capacity of researchers to focus on the first.

Specifically, the retroharmonize package proposes a reproducible workflow, including a new class for storing data together with the harmonized and original metadata, as well as functions for importing data from different formats, harmonizing data and metadata, documenting the harmonization process, and converting between data types. See here for an overview of the functionalities.

The new labelled_spss_survey() class is an extension of haven’s labelled_spss class. It not only preserves variable and value labels and the user-defined missing range, but also gives an identifier, for example, the filename or the wave number, to the vector. Additionally, it enables the preservation – as metadata attributes – of the original variable names, labels, and value codes and labels, from the source data, in addition to the harmonized variable names, labels, and value codes and labels. This way, the harmonized data also contain the pre-harmonization record. The stored original metadata can be used for validation and documentation purposes.

The vignette Working With The labelled_spss_survey Class provides more information about the labelled_spss_survey() class.

In Harmonize Value Labels we discuss the characteristics of the labelled_spss_survey() class and demonstrates the problems that using this class solves.

We also provide three extensive case studies illustrating how the retroharmonize package can be used for ex-post harmonization of data from cross-national surveys:

The creators of retroharmonize are not affiliated with either Afrobarometer, Arab Barometer, Eurobarometer, or the organizations that designs, produces or archives their surveys.

We started building an experimental APIs data is running retroharmonize regularly and improving known statistical data sources. See: Digital Music Observatory, Green Deal Data Observatory, Economy Data Observatory.

Citing the data sources

Our package has been tested on three harmonized survey’s microdata. Because retroharmonize is not affiliated with any of these data sources, to replicate our tutorials or work with the data, you have download the data files from these sources, and you have to cite those sources in your work.

Afrobarometer data: Cite Afrobarometer Arab Barometer data: cite Arab Barometer. Eurobarometer data: The Eurobarometer data Eurobarometer raw data and related documentation (questionnaires, codebooks, etc.) are made available by GESIS, ICPSR and through the Social Science Data Archive networks. You should cite your source, in our examples, we rely on the GESIS data files.

Citing the retroharmonize R package

For main developer and contributors, see the package homepage.

This work can be freely used, modified and distributed under the GPL-3 license:

citation("retroharmonize")
#> 
#> To cite package 'retroharmonize' in publications use:
#> 
#>   Daniel Antal (2021). retroharmonize: Ex Post Survey Data
#>   Harmonization. R package version 0.1.17.
#>   https://retroharmonize.dataobservatory.eu/
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {retroharmonize: Ex Post Survey Data Harmonization},
#>     author = {Daniel Antal},
#>     year = {2021},
#>     doi = {10.5281/zenodo.5006056},
#>     note = {R package version 0.1.17},
#>     url = {https://retroharmonize.dataobservatory.eu/},
#>   }

Contact

For contact information, contributors, see the package homepage.

Code of Conduct

Please note that the retroharmonize project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Developing a software-as-service solution for micro-, and small enterprises

Thu, 09 Jun 2022 09:40:00 +0100

The music sector must increase its environmental and social (ESG) sustainability management to meet the challenges of the climate emergency and to make the music sector a fairer, more just workplace for womxn and artists coming from minorities, small countries. The European Union will make target setting and audited reporting mandatory in environmental and social sustainability for large companies. The application of these new accounting, reporting and disclosure rules are optional for the music sector where almost all entities are micro-, or small enterprises and civil society organizations.

Even if music organizations are not pushed by regulators to adopt these new standards, it is in their best interest to take the initiative on the principle of subsidiarty, and develop tools that can be applied as an extension to their simplified financial and tax reporting. Music organizations and businesses that can prove that they are making progress in reducing their carbon footprint, making their water use more sustainable, and they provide equal opportunities for womxn, they will be eligible for new, green bank and insurance products (which are particularly important in live music) and can attract new sponsors and donors.

Compliance with these new rules is very costly, because tools are being developed for stock-exchange listed big companies and financial institutions. The Commission’s impact assessment (SWD/2021/150 final) estimates the cost of compliance with the Corporate Social Responsibility Directive exceeding 4 bn euros for the European companies or around 10,000 euros per company. Reprex, working together with large accounting, audit and value-based banking partners, scientific, research and industry partners in the Digital Music Observatory open knowledge collaboration, hopes to bring down this cost below 500 euros, which will immediately pay off when a music organization receives green money.

We are working on a simple interface that can connect the accounting system of micro and small enterprises with new methodologies, starting with greenhouse gas reporting with Reprex’s open source EEIO application iotables. We will keep many aspects of our software and data solution open, so that later methodological innovations and scientific achievements can be easily incorporated into the system. Reprex’s minimum viable product will be created in four iteration rounds in Malta, Czechia, Bulgaria and Belgium. However, our testing is open for any amount of donations to any music entities in the European Union who can provide input data in English or Dutch, or be able to pay for their translation and localization costs.

Link: Final List of Awareded Projects by MusicAIRE

Eviota for Music

Thu, 09 Jun 2022 09:40:00 +0100

Reporting the impacts of the entire value chain.

Creating connected sustainability reports has many advantages.

It shows consumers, donors, and buyers that the company cares for sustainable growth.
The organization can ask for grants related to increasing sustainability.
In the EU, the company will be eligible for cheaper green loans, green insurance, and green investments.
Large corporations, including music event donors, may require their supply chain to produce credible sustainability metrics.

There are some difficulties that we want to overcome in this project.

Connected financial and sustainability reports are complex, they require plenty of data, and mandatory only for ’large’ corporations. Just like small companies can make ‘simplified tax returns’ and ‘simplified financial reports’, we aim to create a less complex and cheap simplified, connected financial and sustainability report.
Due to the high complexity, they take a long time to create and are costly: the European Commission estimates their total cost at €10,000.

Table of Contents

Our approach

To reduce the data need, we only take into consideration cost/income groups that meet the financial materiality treshold, i.e. 3% of your total costs or total business-to-business sales.

Why the trial balance?

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We do not need the ledger, only the annual account summaries of revenues and expenses.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity. This way your annual report will be consistent, if you say in the financial part that you spend 1000 euro on energy, then we will calculate the greenhouse gas emissions based on KWh volume of the the energy that cost you 1000 euros.

How does it work?

We use the trial balance (see examples of a trial balance), because that is a standard document that your accountant has about all your purchases and all your sales.

the annual (simplified) balance sheet
the annual (simplified) profit and loss statement

Process: From your data to the final report

We sign a non-disclosure agreement.
You send us your trial balance.
We create a first draft of your carbon footprint. We categorize your suppliers (costs) and buyers (income) into 64 categories for which we have reliable data. See methodology below.
Most of our calculations are made with iotables, our scientific and open source software. We rely on open data from the Green Deal Data Observatory, which in turn processes reliable data of Eurostat and the European Environmental Agency in readily usable format. The use of open source reporting tools and open data helps keep our costs low.
We set up a short call with you and your accountant to make some clarifications.
We provide you the final report.

What is the report?

The making of an NFD is not mandatory for small- and medium sized companies and NGOs that usually produce simplified financial reports.
It is two paragraphs of factual text, accompanies with a table and chart about how much greenhouse gases (or other pollutants) are created by your activities.
A sustainability report is a first step to factual sustainability management and avoiding greenwashing. When you know factually how your activities (including purchases from your suppliers) cause greenhouse gas emissions (or contribute to the gender paygap), you can devise steps to reduce your negative impact, or increase your positive impact.
We work with reliable expert advice so that you can act in a credible way, and make credible promises to your customers, your audience, your donors, granting agencies, bank, insurance, or investors.

Methodology

We follow the CPA classification for your suppliers and corporate buyers. See Statistical Classification of Products by Activity Some categories, like B MINING AND QUARRYING are aggregated, i.e. we cannot make a distintion among various mining activities. In service industries this is not required.
We use the same data for comparators that states use to monitor the Paris Accord. We use the categories of the System of National Accounts, which is harmonized on the level of the EU and the level of the UN. In 2022 we only work with EU and candidate countries that follow the EU version, and we’ll adjust our software in 2023 for the rest of the world.
Our sustainability methodology is based on the Global GHG Accounting & Reporting Standard for the Financial Industry.
We follow the EFRAG’s Proposals for a Relevant and Dynamic EU Sustainability Reporting Standard Setting (pdf download) because this will be the basis of future, mandatory reporting standards in Europe.
We will help small music organizations in their sustainability reporting, where detail data and reporting standards are only available for greenhouse gas emissions.

The Music Eviota project is supported by the MusicAIRE.

Open collaboration

Why are we developing this service?

Requirements for connecting financial and sustainability reporting.

Our solution benefits the music MSMEs and CSOs in several ways:

It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollution, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. Our previous research shows that particularly the live music industry that needs a large workforce, suffers from underuse of, and discrimination of female workers in various technical and even managerial roles. Our system will be able to flag risks of gender paygap and related issues in the entire value chain and of course, provide good benchmarks for internal activities.

Growing interest for ESG in select countries.

Future plans: Social Sustainability and Anti-Bribary

MusicAIRE Green Recovery in the Music Sector

Co-funded by the European Union

Music Eviota

Thu, 09 Jun 2022 09:40:00 +0100

Reporting the impacts of the entire value chain.

Creating connected sustainability reports has many advantages.

It shows consumers, donors, and buyers that the company cares for sustainable growth.
The organization can ask for grants related to increasing sustainability.
In the EU, the company will be eligible for cheaper green loans, green insurance, and green investments.
Large corporations, including music event donors, may require their supply chain to produce credible sustainability metrics.

There are some difficulties that we want to overcome in this project.

Connected financial and sustainability reports are complex, they require plenty of data, and mandatory only for ’large’ corporations. Just like small companies can make ‘simplified tax returns’ and ‘simplified financial reports’, we aim to create a less complex and cheap simplified, connected financial and sustainability report.
Due to the high complexity, they take a long time to create and are costly: the European Commission estimates their total cost at €10,000.

Table of Contents

Our approach

To reduce the data need, we only take into consideration cost/income groups that meet the financial materiality treshold, i.e. 3% of your total costs or total business-to-business sales.

Why the trial balance?

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We do not need the ledger, only the annual account summaries of revenues and expenses.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity. This way your annual report will be consistent, if you say in the financial part that you spend 1000 euro on energy, then we will calculate the greenhouse gas emissions based on KWh volume of the the energy that cost you 1000 euros.

How does it work?

We use the trial balance (see examples of a trial balance), because that is a standard document that your accountant has about all your purchases and all your sales.

the annual (simplified) balance sheet
the annual (simplified) profit and loss statement

Process: From your data to the final report

We sign a non-disclosure agreement.
You send us your trial balance.
We create a first draft of your carbon footprint. We categorize your suppliers (costs) and buyers (income) into 64 categories for which we have reliable data. See methodology below.
Most of our calculations are made with iotables, our scientific and open source software. We rely on open data from the Green Deal Data Observatory, which in turn processes reliable data of Eurostat and the European Environmental Agency in readily usable format. The use of open source reporting tools and open data helps keep our costs low.
We set up a short call with you and your accountant to make some clarifications.
We provide you the final report.

What is the report?

The making of an NFD is not mandatory for small- and medium sized companies and NGOs that usually produce simplified financial reports.
It is two paragraphs of factual text, accompanies with a table and chart about how much greenhouse gases (or other pollutants) are created by your activities.
A sustainability report is a first step to factual sustainability management and avoiding greenwashing. When you know factually how your activities (including purchases from your suppliers) cause greenhouse gas emissions (or contribute to the gender paygap), you can devise steps to reduce your negative impact, or increase your positive impact.
We work with reliable expert advice so that you can act in a credible way, and make credible promises to your customers, your audience, your donors, granting agencies, bank, insurance, or investors.

Methodology

We follow the CPA classification for your suppliers and corporate buyers. See Statistical Classification of Products by Activity Some categories, like B MINING AND QUARRYING are aggregated, i.e. we cannot make a distintion among various mining activities. In service industries this is not required.
We use the same data for comparators that states use to monitor the Paris Accord. We use the categories of the System of National Accounts, which is harmonized on the level of the EU and the level of the UN. In 2022 we only work with EU and candidate countries that follow the EU version, and we’ll adjust our software in 2023 for the rest of the world.
Our sustainability methodology is based on the Global GHG Accounting & Reporting Standard for the Financial Industry.
We follow the EFRAG’s Proposals for a Relevant and Dynamic EU Sustainability Reporting Standard Setting (pdf download) because this will be the basis of future, mandatory reporting standards in Europe.
We will help small music organizations in their sustainability reporting, where detail data and reporting standards are only available for greenhouse gas emissions.

The Music Eviota project is supported by the MusicAIRE.

Open collaboration

Why are we developing this service?

Requirements for connecting financial and sustainability reporting.

Our solution benefits the music MSMEs and CSOs in several ways:

It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollution, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. Our previous research shows that particularly the live music industry that needs a large workforce, suffers from underuse of, and discrimination of female workers in various technical and even managerial roles. Our system will be able to flag risks of gender paygap and related issues in the entire value chain and of course, provide good benchmarks for internal activities.

Growing interest for ESG in select countries.

Future plans: Social Sustainability and Anti-Bribary

MusicAIRE Green Recovery in the Music Sector

Co-funded by the European Union

Music Eviota

Thu, 09 Jun 2022 09:40:00 +0100

Reporting the impacts of the entire value chain.

Creating connected sustainability reports has many advantages.

It shows consumers, donors, and buyers that the company cares for sustainable growth.
The organization can ask for grants related to increasing sustainability.
In the EU, the company will be eligible for cheaper green loans, green insurance, and green investments.
Large corporations, including music event donors, may require their supply chain to produce credible sustainability metrics.

There are some difficulties that we want to overcome in this project.

Connected financial and sustainability reports are complex, they require plenty of data, and mandatory only for ’large’ corporations. Just like small companies can make ‘simplified tax returns’ and ‘simplified financial reports’, we aim to create a less complex and cheap simplified, connected financial and sustainability report.
Due to the high complexity, they take a long time to create and are costly: the European Commission estimates their total cost at €10,000.

Table of Contents

Our approach

To reduce the data need, we only take into consideration cost/income groups that meet the financial materiality treshold, i.e. 3% of your total costs or total business-to-business sales.

Why the trial balance?

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We do not need the ledger, only the annual account summaries of revenues and expenses.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity. This way your annual report will be consistent, if you say in the financial part that you spend 1000 euro on energy, then we will calculate the greenhouse gas emissions based on KWh volume of the the energy that cost you 1000 euros.

How does it work?

We use the trial balance (see examples of a trial balance), because that is a standard document that your accountant has about all your purchases and all your sales.

the annual (simplified) balance sheet
the annual (simplified) profit and loss statement

Process: From your data to the final report

We sign a non-disclosure agreement.
You send us your trial balance.
We create a first draft of your carbon footprint. We categorize your suppliers (costs) and buyers (income) into 64 categories for which we have reliable data. See methodology below.
Most of our calculations are made with iotables, our scientific and open source software. We rely on open data from the Green Deal Data Observatory, which in turn processes reliable data of Eurostat and the European Environmental Agency in readily usable format. The use of open source reporting tools and open data helps keep our costs low.
We set up a short call with you and your accountant to make some clarifications.
We provide you the final report.

What is the report?

The making of an NFD is not mandatory for small- and medium sized companies and NGOs that usually produce simplified financial reports.
It is two paragraphs of factual text, accompanies with a table and chart about how much greenhouse gases (or other pollutants) are created by your activities.
A sustainability report is a first step to factual sustainability management and avoiding greenwashing. When you know factually how your activities (including purchases from your suppliers) cause greenhouse gas emissions (or contribute to the gender paygap), you can devise steps to reduce your negative impact, or increase your positive impact.
We work with reliable expert advice so that you can act in a credible way, and make credible promises to your customers, your audience, your donors, granting agencies, bank, insurance, or investors.

Methodology

We follow the CPA classification for your suppliers and corporate buyers. See Statistical Classification of Products by Activity Some categories, like B MINING AND QUARRYING are aggregated, i.e. we cannot make a distintion among various mining activities. In service industries this is not required.
We use the same data for comparators that states use to monitor the Paris Accord. We use the categories of the System of National Accounts, which is harmonized on the level of the EU and the level of the UN. In 2022 we only work with EU and candidate countries that follow the EU version, and we’ll adjust our software in 2023 for the rest of the world.
Our sustainability methodology is based on the Global GHG Accounting & Reporting Standard for the Financial Industry.
We follow the EFRAG’s Proposals for a Relevant and Dynamic EU Sustainability Reporting Standard Setting (pdf download) because this will be the basis of future, mandatory reporting standards in Europe.
We will help small music organizations in their sustainability reporting, where detail data and reporting standards are only available for greenhouse gas emissions.

The Music Eviota project is supported by the MusicAIRE.

Open collaboration

Why are we developing this service?

Requirements for connecting financial and sustainability reporting.

Our solution benefits the music MSMEs and CSOs in several ways:

It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollution, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. Our previous research shows that particularly the live music industry that needs a large workforce, suffers from underuse of, and discrimination of female workers in various technical and even managerial roles. Our system will be able to flag risks of gender paygap and related issues in the entire value chain and of course, provide good benchmarks for internal activities.

Growing interest for ESG in select countries.

Future plans: Social Sustainability and Anti-Bribary

MusicAIRE Green Recovery in the Music Sector

Co-funded by the European Union

Open Music Europe

Thu, 09 Jun 2022 09:40:00 +0100

Open Music Europe brings together music industry stakeholders and researchers from 10 EU countries and Ukraine. Our consortium recognises that placing European music ecosystems on a more competitive, fair, and sustainable footing requires evidence-based policymaking, business planning and accuracy. We provide the data needed for these actions.

Using transparent methods and tools, Open Music Europe maps the policy as well as the data landscape. The project bridges data gaps and empowers stakeholders and policymakers to take data-driven actions. Our project is grounded on principles of open policy analysis, open science, and open-source software development. We work with stakeholders to identify data gaps on the EU, national, and regional levels; co-create indicators and methods for bridging them; develop free software tools for data collection and analysis; and report our findings and every step taken to reach them.

Using the Digital Music Observatory and our open-source software, music MSMEs without technical departments or expertise will be able to access and analyse open data; model volume and value, including of zero-price uses; create better business models; and generate corporate social responsibility and sustainability reports; all at a fraction of current costs. We validate these tools in four pilot studies that will bring concrete benefits to stakeholders within the project lifespan.

Reproducible Economic Impact Assessment

Sun, 19 Dec 2021 13:00:00 +0100

Get started with iotables.

Originally published on the Reprex blog.

We made an important, peer-reviewed release of iotables in the last week as a preparation to increase the functionality of our open-source software. The official release of the iotables R package currently works with economic impact assessments, and can evaluate the likely employment, tax, wage, or gross value added direct, indirect and multiplied impacts of various policy changes in about 30 countries.

Originally the package was developed to calculate the economic impact of the Hungarian film tax shelter and the impact of the music sector on the Slovak economy. (See Slovak Music Industry Report).

The new CRAN release improved the documentation of the function and removed most outdated dependencies. The new, development version (which did not go through peer-review yet) is adding new functionality for environmental impact analysis with the following pollutants: Carbon dioxide without emissions from biomass (CO2), Carbon dioxide from biomass (Biomass CO2), Nitroux oxide (N2O), Methane (CH4), Perfluorocarbons (PFCs), Hydrofluorocarbons (HFCs), Sulphur hexafluoride (SF6) including nitrogen trifluoride (NF3), Nitrogen oxides (NOx), Non-methane volatile organic compounds, (NMVOC), Carbon monoxide (CO), Particulate matter < 10μm (PM10), Particulate matter < 2,5μm (PM2,5), Sulphur dioxide (SO2), Ammonia (NH3) and their combinations (see Reference Metadata in Euro SDMX Metadata Structure (ESMS)).

Our aim is to develop new sustainable finance applications, and understand the sustainability impacts of bank’s lending activities and insurer’s underwriting activities on climate change mitigation and adoption, biodiversity, preservation of water reservers, preventing pollution, and promoting the circular economy.

EU Taxonomy on Sustainable Activities

The European Commission created an created an EU Taxonomy Compass, which provides a visual representation of the contents of the EU Taxonomy, starting with the Delegated Act on the climate objectives, as adopted on 4 June 2021. Whilst you can download the EU Taxonomy in xlsx or json format, they are not tidy datasets, and they are not particularly well-suited for calculations, filtering, or inclusion in applications.

Reprex created a tidy version of the EU Taxonomy for developing better sustainability indicators into the Green Deal Data Observatory.

Open Data

EU Taxonomy on Sustainable Activities (Tidy) download.

Using our iotables is not for the faint heart. It is a scientific software, and it requires a good command of national accounts, input-output economics and sustainability to work with. Our Green Deal Data Observaotry is designed to be an API of scientific software, and produce clean, ready to use data for researchers, policy-makers and business planners who do not have the skills to work with scientific software. We are planning to release well-designed datasets that go through dozens of checks to make sure they have the best data quality.

Do you want to develop input-output models for any European country to measure the direct and indirect green house gas impacts of policy actions? Do you need well-formatted data on interindustry linkages or other relevant topics for sustainable economy or susitainable finance research? Get in touch with us – we are happy to help and test our new software tool with data you need, and create high-quality, open datasets that are ready to use.

Crunchconf: Open Data, New Gold Without the Rush

Fri, 08 Oct 2021 10:10:00 +0000

Every year, the EU announces that billions and billions of data are now “open” again, but this is not gold. At least not in the form of nicely minted gold coins, but in gold dust and nuggets found in the muddy banks of chilly rivers. There is no rush for it, because panning out its value requires a lot of hours of hard work. Our goal is to automate this work to make open data usable at scale, even in trustworthy AI solutions.

Summary

In his presentation, Daniel compared the current state of open data (including governmental open data and scientific open data) to a thrift store. You can often find bargains, or historical data that would be impossible to source from data vendors, but on a strictly as-is basis, without a catalogue, service, or guarantee. Therefore, working with open data requires a careful reprocessing, validation, and in many cases, frequent re-validation. Open data is often over-estimated: it is never a finished product, often it cannot even be downloaded, therefore it requires further investment to make it valuable. However, because most open data arrives from the governmental sector, you can tap into information sources where no market alternative exists. Open data in some cases may be a cheaper substitute to market vendors, but often it is an exclusive source of information that do not have any market vendors.

Sisyphus was punished by being forced to roll an immense boulder up a hill only for it to roll down every time it neared the top, repeating this action for eternity. This is the price that project managers and analysts pay for the inadequate documentation of their data assets.

The practices related to the exploitation of open data are not only relevant in an open data context: these are good data ingestion and procurement practices for any third party data, and in large organizations, for any cross-departmental data. (See the blogpost: The Data Sisyphus.)
Case Study: Belgian Drought/Flood Risk Awareness, Financial Capacity & Hydrology a complex integration of various open data sources.

In the second part of the presentation, Daniel talked about our modern data observatory concept. We have reviewed about 80 functioning and already defunct international data collection programs. Data observatories, like Copernicus’ Observatory, are permanent infrastructure to record various domain-specific data, such as alternative fuel information, information on homelessness, or on the European music business. In our assessment, most of the EU, OECD, UNESCO recognized or endorsed observatories use obsolete technology and do not rely on the new achievements of data science. Reprex, our start-up offers an open source, open data based alternative solution to build largely automated data observatories. We believe that human judgement is needed in data curation, but processing, documentation and validation is best done by computers.

Case Study: Reprocessing geographical information with administrative boundary changes

At last, he presented a few development directions with our open-source software, mentioning our work withing the rOpenGov community. This part of the presentation was originally meant to open the way for a half-day open data workshop, but due to the current pandemic situation, the physical part of the conference and the workshops were not held.

The presentation largely included the topics of our Data & Lyrics blogpost: Open Data—The New Gold Without the Rush

Presentation Slides

See the presentation slides here.

Metadata

Wed, 07 Jul 2021 00:00:00 +0000

Adding metadata exponentially increases the value of data. Did your region add a new town to its boundaries? How do you adjust old data to conform to constantly changing geographic boundaries? What are some practical ways of combining satellite sensory data with my organization’s records? And do I have the right to do so? Metadata logs the history of data, providing instructions on how to reuse it, also setting the terms of use. We automate this labor-intensive process applying the FAIR data concept.

In our observatory we apply the concept of FAIR (findable, accessibe, interoperable, and reusable digital assets) in our APIs and in our open-source statistical software packages.

The hidden cost item

Metadata gets less attention than data, because it is never acquired separately, it is not on the invoice, and therefore it remains an a hidden cost, and it is more important from a budgeting and a usability point of view than the data itself. Metadata is responsible for industry non-billable hours or uncredited working hours in academia. Poor data documentation, lack of reproducible processing and testing logs, inconsistent use of currencies, keywords, and storing messy data make reusability and interoperability, integration with other information impossible.

FAIR Data and the Added Value of Rich Metadata we introduce how we apply the concept of FAIR (findable, accessibe, interoperable, and reusable digital assets) in our APIs.

Organizations pay many times for the same, repeated work, because these boring tasks, which often comprise of tens of thousands of microtasks, are neglected. Our solution creates automatic documentation and metadata for your own historical internal data or for acquisitions from data vendors. We apply the more general Dublin Core and the more specific, mandatory and recommended values of DataCite for datasets – these are new requirements in EU-funded research from 2021. But they are just the minimal steps, and there is a lot more to do to create a diamond ring from an uncut gem.

Map your data: bibliographis, catalogues, codebooks, versioning

Updating descriptive metadata, such as bibliographic citation files, descriptions and sources to data files downloaded from the internet, versioning spreadsheet documents and presentations is usually a hated and often neglected task withing organization, and rightly so: these boring and error-prone tasks are best left to computers.

Already adjusted spreadsheets are re-adjusted and re-checked. Hours are spent on looking for the right document with the rigth version. Duplicates multiply. Already downloaded data is downloaded again, and miscategorized, again. Finding the data without map is a treasure hunt. Photo: © N.

The lack of time and resources spend on documentation over time reduces reusability and significantly increases data processing and supervision or auditing costs.

Our observatory metadata is compliant with the Dublin Core Cross-Domain Attribute Set metadata standard, but we use different formatting. We offer simple re-formatting from the richer DataCite to Dublin Core for interoperability with a wider set of data sources.
We use all mandatory DataCite metadata fields, all the the recommended and optional ones.
It complies with the tidy data principles.

In other words: very easy to import into your databases, or join with other databases, and the information is easy to find. Corrections, updates can automatically managed.

What happened with the data before?

We are creating Codebooks that are following the SDMX statistical metadata codelists, and resemble the SMDX concepts used by international statistical agencies. (See more technical information here.)

Small organizations often cannot afford to have data engineers and data scientists on staff, and they employ analysts who work with Excel, OpenOffice, PowerBI, SPSS or Stata. The problem with these applications is that they often require the user to manually adjust the data, with keyboard entries or mouse clicks. Furthermore, they do not provide a precise logging of the data processing, manipulation history. The manual data processing and manipulation is very error prone and makes the use of complex and high value resources, such as harmonized surveys or symmetric input-output tables, to name two important source we deal with, impossible to use. The use of these high-value data sources often requires tens of thousands of data processing steps: no human can do it faultlessly.

What is even more problematic that simple applications for analysis do not provide a log of these manipulations’ steps: pulling over a column with the mouse, renaming a row, adding a zero to an empty cell. This makes senior supervisory oversight and external audit very costly.

Our data comes with full history: all changes are visible, and we even open the code or algorithm that processed the raw data. Your analysts can still use their favourite spreadsheet or statistical software application, but they can start from a clean, tidy dataset, with all data wrangling, currency and unit conversion, imputation and other low-priority but important tasks done and logged.

Survey Harmonization

Mon, 05 Jul 2021 08:00:00 +0000

We provide retrospecitve, ex post, and ex ante survey harmonization to our partners.

The aim of retrospective survey harmonization is to pool data from pre-existing surveys made with a similar methodology in different points in time and different countries or territories. Ex post survey harmonization is in a way a passive form of pooling research funding because you can utilize information from surveying that were made on somebody else’s expense.

The Arab Barometer surveys do not have a consolidated codebook, but our retroharmonize software created one, and put together data from three years and collected in many countries about various public policy issues.

The aim of ex ante survey harmonization is to maximize the value from future retrospective harmonization; in a way, it is an active form of pooling research funding, because you benefit from money spent on related open governmental and open science survey programs.

In this example we designed a survey representative among music professionals that it can be compared with large-sample, national surveys on living conditions and attitudes, and with occupational groups. Nationally representative surveys do not question enough musicians to allow such specific use; musician only surveys do not allow comparison.

retorhamonize is a peer-reviewed, scientfic statistcal software that allows the programmatic retrospective harmonization of surveys, such as the last 35 years of all Eurobarometer microdata, or all Afrobarometer microdata. Eurobarometer grew out of certain CEE member states’ need for comparable data about their music and audiovisual sectors. We commissioned surveys following ESSNet-Culture guidelines and combined our survey data with open access European microdata-level surveys.

regions solves the problems caused by Europe’s shifting regional boundaries, which have undergone changes in several thousand places over the last twenty years, meaning member states’ and Eurostat’s regional statistics are not comparable over more than two to three years. This software validates and, where possible, changes the regional coding from NUTS1999 until the not yet used NUTS2021, opening up vast, valuable, untapped data sources that can be used for longitudinal analysis or for panel analysis far more precise than what national data alone would allow. It was originally designed in a research project at IVIR in the University of Amsterdam to understand the geographical dynamics of book piracy. Because of the needs this software fills, it had 700 users in the first month after publication. It is particularly useful to re-code old surveys, as regional boundaries are changing in each decade several hundred times in Europe.

Data API

Tue, 01 Jun 2021 11:00:00 +0000

Our observatory has a new data API which allows access to our daily refreshing open data. You can access the API via api.economy.dataobservatory.eu (apologies for the ugly, temporary subdomain masking!).

All the data and the metadata are available as open data, without database use restrictions, under the ODbL license. However, the metadata contents are not finalized yet. We are currently working on a solution that applies the FAIR Guiding Principles for scientific data management and stewardship, and fulfills the mandatory requirements of the Dublic Core metadata standards and at the same time the mandatory requirements, and most of the recommended requirements of DataCite. These changes will be effective before 1 July 2021.

The Competition Data Observatory temporarily shares an API with the Economy Data Observatory, which serves as an incubator for similar economy-oriented reproducible research resources.

Indicator table

The indicator table contains the actual values, and the various estimated/imputed values of the indicator, clearly marking missing values, too.

api.economy.dataobservatory.eu: indicator retrieval

You can get the data in CSV or json format, or write SQL querries. (Tutorials in SQL, R, Python will be posted shortly.)

Description metadata table

Processing Metadata table

The metadata table contains various data processing information, such as the first and last actual observation of the indicator, the number of approximated, forecasted, backcasted values, last update at source and in our system, and so on.

api.economy.dataobservatory.eu: processing metadata

Authoritative Copies

Greendeal Data Observatory on Zenodo

Metadata

Tue, 01 Jun 2021 11:00:00 +0000

The Competition Data Observatory temporarily shares an API with the Economy Data Observatory, which serves as an incubator for similar economy-oriented reproducible research resources.

api.economy.dataobservatory.eu: processing metadata

Descriptive Metadata


Identifier	An unambiguous reference to the resource within a given context. (Dublin Core item), but several identifiders allowed, and we will use several of them.
Creator	The main researchers involved in producing the data, or the authors of the publication, in priority order. To supply multiple creators, repeat this property. (Extends the Dublin Core with multiple authors, and legal persons, and adds affiliation data.)
Title	A name given to the resource. Extends Dublin Core with alternative title, subtitle, translated Title, and other title(s).
Publisher	The name of the entity that holds, archives, publishes prints, distributes, releases, issues, or produces the resource. This property will be used to formulate the citation, so consider the prominence of the role. For software, use Publisher for the code repository. (Dublin Core item.)
Publication Year	The year when the data was or will be made publicly available.
Resource Type	We publish Datasets, Images, Report, and Data Papers. (Dublin Core item with controlled vocabulary.)

Recommended for discovery

The Recommended (R) properties are optional, but strongly recommended for interoperability.


Subject	The topic of the resource. (Dublin Core item.)
Contributor	The institution or person responsible for collecting, managing, distributing, or otherwise contributing to the development of the resource. (Extends the Dublin Core with multiple authors, and legal persons, and adds affiliation data.) When applicable, we add Distributor (of the datasets and images), Contact Person, Data Collector, Data Curator, Data Manager, Hosting Institution, Producer (for images), Project Manager, Researcher, Research Group, Rightsholder, Sponsor, Supervisor
Date	A point or period of time associated with an event in the lifecycle of the resource, besides the Dublin Core minimum we add Collected, Created, Issued, Updated, and if necessary, Withdrawn dates to our datasets.
Related Identifier	An identifier or identifiers other than the primary Identifier applied to the resource being registered.
Rights	We give SPDX License List standards rights description with URLs to the actual license. (Dublin Core item: Rights Management)
Description	Recommended for discovery.(Dublin Core item.)
GeoLocation	Similar to Dublin Core item Coverage

The Subject property: we need to set standard coding schemas for each observatory.
Contributor property:
- DataCurator the curator of the dataset, who sets the mandatory properties.
- DataManager the person who keeps the dataset up-to-date.
- ContactPerson the person who can be contacted for reuse requests or bug reports.
The Date property contains the following dates, which are set automatically by the dataobservatory R package:
- Updated when the dataset was updated;
- EarliestObservation, which the earliest, not backcasted, estimated or imputed observation.
- LatestObservation, which the earliest, not backcasted, estimated or imputed observation.
- UpdatedatSource, when the raw data source was last updated.
The GeoLocation is automatically created by the dataobservatory R package.
The Description property optional elements, and we adopted them as follows for the observatories:
- The Abstract is a short, textual description; we try to automate its creation as much as a possible, but some curatorial input is necessary.
- In the TechnicalInfo sub-field, we record automatically the utils::sessionInfo() for computational reproducability. This is automatically created by the dataobservatory R package.
- In the Other sub-field, we record the keywords for structuring the observatory.

Optional

The Optional (O) properties are optional and provide richer description. For findability they are not so important, but to create a web service, they are essential. In the mandatory and recommended fields, we are following other metadata standards and codelists, but in the optional fields we have to build up our own system for the observatories.


Language	A language of the resource. (Dublin Core item.)
Alternative Identifier	An identifier or identifiers other than the primary Identifier applied to the resource being registered.
Size	We give the CSV, downloadable dataset size in bytes.
Format	We give file format information. We mainly use CSV and JSON, and occasionally rds and SPSS types. (Dublin Core item.)
Version	The version number of the resource.
Rights	We give SPDX License List standards rights description with URLs to the actual license. (Dublin Core item: Rights Management)
Funding Reference	We provide the funding reference information when applicable. This is usually mandatory with public funds.
Related Item	We give information about our observatory partners’ related research products, awards, grants (also Dublin Core item as Relation.) We particularly include source information when the dataset is derived from another resource (which is a Dublin Core item.)

In the Language we only use English (eng) at the moment.
By default We do not use the Alternative Identifier property. We will do this when the same dataset will be used in several observatories.
The Size property is measured in bytes for the CSV representation of the dataset. During creations, the software creates a temporary CSV file to check if the dataset has no writing problems, and measures the dataset size.
The Version property needs further work. For a daily re-freshing API we need to find an applicable versioning system.
The Funding reference will contain information for donors, sponsors, and co-financing partners.
Our default setting for Rights is the CC-BY-NC-SA-4.0 license and we provide an URI for the license document.
In the RelatedItem we give information about:
- The original (raw) data source.
- Methodological bibilography reference, when needed.
- The open-source statistical software code that processed the data.

Administrative (Processing) Metadata

Administrative Metadata

Like with diamonds, it is better to know the history of a dataset, too. Our administrative metadata contains codelists that follow the SXDX statistical metadata standards, and similarly strucutred information about the processing history of the dataset.

See for further reference The codebook Class.


Observation Status	SDMX Code list for Observation Status 2.2 (CL_OBS_STATUS), such as actual, missing, imputed, etc. values.
Method	If the value is estimated, we provide modelling information.
Unit	We provide the measurement unit of the data (when applicable.)
Frequency	SDMX Code list for Frequency 2.1 (CL_FREQ) frequency values
Codelist	Euros-SDMX Codelist entries for the observational units, such as sex, etc.
Imputation	SDMX Code list for Frequency 2.1 (CL_IMPUT_METH) imputation values
Estimation	The estimation methodology of data that we calculated, together with citation information and URI to the actual processing code
Related Item	We give information about the software code that processed the data (both Dublin Core and DataCite compliant.)

See an example in the The codebook Class article of the dataobservatory R package.

Data Sharing

Sun, 16 May 2021 00:00:00 +0000

we would like to actively encourage the sharing of data assets.

Open Data

Sun, 16 May 2021 00:00:00 +0000

Many countries in the world allow access to a vast array of information, such as documents under freedom of information requests, statistics, datasets. In the European Union, most taxpayer financed data in government administration, transport, or meteorology, for example, can be usually re-used. More and more scientific output is expected to be reviewable and reproducible, which implies open access.

What’s the Problem with Open Data?

How We Add Value?

Is There Value in It?
If it’s money on the street, why nobody’s picking it up?

Datasets Should Work Together to Give Information
Data is only potential information, raw and unprocessed.

What’s the Problem with Open Data?

“Data is stuff. It is raw, unprocessed, possibly even untouched by human hands, unviewed by human eyes, un-thought-about by human minds.” [1]

Most open data cannot be just “downloaded.”
Often, you need to put more than $100 value of work into processing, validating, documenting a dataset that is worth $100. But you can share this investment with our data observatories.
Open data is almost always lacking of documentation, and no clear references to validate if the data is reliable or not corrupted. This is why we always start with reprocessing and redocumenting.

Our review of about 80 EU, UN and OECD data observatories reveals that most of them do not use these organizations’s open data - instead they use various, and often not well processed proprietary sources.

How We Add Value?

We believe that even such generally trusted data sources as Eurostat often need to be reprocessed, because various legal and political constraints do not allow the common European statistical services to provide optimal quality data – for example, on the regional and city levels.
With rOpenGov and other partners, we are creating open-source statistical software in R to re-process these heterogenous and low-quality data into tidy statistical indicators to automatically validate and document it.
Metadata is a potentially informative data record about a potentially informative dataset. We are carefully documenting and releasing administrative, processing, and descriptive metadata, following international metadata standards, to make our data easy to find and easy to use for data analysts.
We are automatically creating depositions and authoritative copies marked with an individual digital object identifier (DOI) to maintain data integrity.

Is There Value in Open Data?

A well-known story tells of a finance professor and a student who come across a $100 bill lying on the ground. As the student stops to pick it up, the professor says, “Don’t bother—if it were really a $100 bill, it wouldn’t be there.”

But this is not the case with open data. Often, you need to put more than $100 into processing, validating, documenting a dataset that is worth $100.

In the EU, open data is governed by the Directive on open data and the re-use of public sector information - in short: Open Data Directive (EU) 2019 / 1024. It entered into force on 16 July 2019. It replaces the Public Sector Information Directive, also known as the PSI Directive which dated from 2003 and was subsequently amended in 2013.

Open Data is potentially useful data that can potentially replace costlier or hard to get data sources to build information. It is analogous to potential energy: work is required to release it. We build automated systems that reduce this work and increase the likelihood that open data will offer the best value for money.

Most open data is not publicy accessible, and available upon request. Our real curatorial advantage is that we know where it is and how to get this request processed.
Most European open data comes from tax authorities, meteorological offices, managers of transport infrastructure, and other governmental bodies whose data needs are very different from yours. Their data must be carefully evaluated, re-processed, and if necessary, imputed to be usable for your scientific, business or policy goals.
The use of open science data is problematic in different ways: usually understanding the data documentation requires domain-specific specialist knowledge. Open science data is even more scattered and difficult to access than technically open, but not public governmental data.

From Datasets to Data Integration, Data to Information

“Data is only potential information, raw and unprocessed, prior to anyone actually being informed by it.” ^[2]

We are building simple databases and supporting APIs that release the data without restrictions, in a tidy format that is easy to join with other data, or easy to join into databases, together with standardized metadata.

Our service flow and value chain

FAQ

Why Downloading Does Not Work?

Most open data is not available on the internet.
If it is available, it is not in a form that you can easily import into a spreadsheet application like Excel or OpenOffice, or into a statistical application like SPSS or STATA.
Even the data quality of trusted web sources, like the Eurostat website, can be very low. Eurostat just publishes what it gets from governments, and often has no mandate to fix errors. The data is full with missing information, and in the case of regional statistics, faulty region codes and region names that make matching your data or placing them on a map impossible.
Adjusting euros with millions of euros, correctly translating dollars to euros, pounds to kilograms requires plenty of work. This is a very error-prone process when done by humans.

Can Open Data be Used in Machine Learning and AI?

Most public and open data sources have many missing observations; machine learning models usually cannot hanlde missingness. These points must be carefully imputed with approximations, which can be very challenging when the data has geographical dimension.
Removing missing values makes samples extremely biased and your model will learn from omissions, not information.

Photo Credits

What’s the Problem with Open Data? illustration is a photo by Cristina Gottardi How We Add Value? illustration is a photo by Nana Smirnova. Is There Value Left in It? is a photo by Imelda Datasets Should Work Together to Give Information is a photo by Lucas Santos

Footnote References

[1] Pomerantz, Jeffrey. 2021. “Metadata.” MIT Press essential knowledge series. MIT Press. Cambridge, Massachusetts ; London, England : The MIT Press, [2015]

[2] Pomerantz, Jeffrey. 2021. “Metadata.” MIT Press essential knowledge series. MIT Press. Cambridge, Massachusetts ; London, England : The MIT Press, [2015]

Identifying Roadblocks to Net Zero Legislation

Tue, 16 Mar 2021 00:00:00 +0000

In our use case we are merging data about Europe’s coal regions, harmonized surveys about the acceptance of climate policies, and socio-economic data. While the work starts out from existing European research, our retroharmonize survey harmonization solution, our regions sub-national boundary harmonization solution and iotables allows us to connect open data and open knowledge from other coal regions of the world, for example, from the Appalachian economy.

Policy Context

The Just Transition Platform aims to assist EU countries and regions to unlock the support available through the Just Transition Mechanism. It builds on and expands the work of the existing Initiative for Coal Regions in Transition, which already supports fossil fuel producing regions across the EU in achieving a just transition through tailored, needs-oriented assistance and capacity-building.

The Initiative has a secretariat that is co-run by Ecorys, Climate Strategies, ICLEI Europe, and the Wuppertal Institute for Climate. While the initiative is an EU project, it cooperates with other similar initiatives, for example, with the Coalfield Development social enterprise in the Appalachian economy.

Data Sources

Coal regions: Our starting point is the EU coal regions: opportunities and challenges ahead publication Joint Research Centre (JRC), the European Commission’s science and knowledge service. This publication maps Europe’s coal dependent energy and transport infrastructure, and regions that depend on coal-related jobs.
Harmonized Survey Data: The dataset of the Eurobarometer 91.3 (April 2019) harmonized survey. Our transition policy variable is the four-level agreement with the statement More public financial support should be given to the transition to clean energies even if it means subsidies to fossil fuels should be reduced (EN) and Davantage de soutien financier public devrait être donné à la transition vers les énergies propres même si cela signifie que les subventions aux énergies fossiles devraient être réduites (FR) which is then translated to the language use of all participating country.
Environmental Variables: We used data on pm and SO2 polution measured by participating stations in the European Environmental Agency’s monitoring program. The station locations were mapped by Milos to the NUTS sub-national regions.

Exploratory Data Analysis

Our coal-dependency dummy variable is base on the policy document Coal regions in transition.

readRDS(file.path("data", "coal_regions.rds"))

## # A tibble: 253 x 5
##    country_code_is~ region_nuts_nam~ region_nuts_cod~ coal_region is_coal_region
##    <chr>            <fct>            <chr>            <chr>                <dbl>
##  1 BE               Brussels hoofds~ BE10             <NA>                     0
##  2 BE               Liege            BE33             <NA>                     0
##  3 BE               Brabant Wallon   BE31             <NA>                     0
##  4 BE               Antwerpen        BE21             <NA>                     0
##  5 BE               Limburg [BE]     BE22             <NA>                     0
##  6 BE               Oost-Vlaanderen  BE23             <NA>                     0
##  7 BE               Vlaams Brabant   BE24             <NA>                     0
##  8 BE               West-Vlaanderen  BE25             <NA>                     0
##  9 BE               Hainaut          BE32             <NA>                     0
## 10 BE               Namur            BE35             <NA>                     0
## # ... with 243 more rows

Our exploratory data analysis shows that respondent in 2019, agreement with the policy measure significantly differed among EU member states and regions.

transition_policy <- eb19_raw %>%
  rowid_to_column() %>%
  mutate ( transition_policy = normalize_text(transition_policy)) %>%
  fastDummies::dummy_cols(select_columns = 'transition_policy') %>%
  mutate ( transition_policy_agree = case_when(
    transition_policy_totally_agree + transition_policy_tend_to_agree > 0 ~ 1, 
    TRUE ~ 0
  )) %>%
  mutate ( transition_policy_disagree = case_when(
    transition_policy_totally_disagree + transition_policy_tend_to_disagree > 0 ~ 1, 
    TRUE ~ 0
  )) 

eb19_df  <- transition_policy %>% 
  left_join ( air_pollutants, by = 'region_nuts_codes' ) %>%
  mutate ( is_poland = ifelse ( country_code == "PL", 1, 0))

Preliminary Results

Significantly more people agree where

there are more polutants
who are younger
where people are more educated

Significantly less people agree

in rural areas
where more people are older
where more people are less educated
in less polluted areas
in coal regions

A simple model run:

c("transition_policy_totally_agree" , "pm10", "so2", "age_exact", "is_highly_educated" , "is_rural")

## [1] "transition_policy_totally_agree" "pm10"                           
## [3] "so2"                             "age_exact"                      
## [5] "is_highly_educated"              "is_rural"

summary( glm ( transition_policy_totally_agree ~ pm10 + so2 + 
                 age_exact +
                 is_highly_educated + is_rural + is_coal_region +
                 country_code, 
               data = eb19_df, 
               family = binomial ))

## 
## Call:
## glm(formula = transition_policy_totally_agree ~ pm10 + so2 + 
##     age_exact + is_highly_educated + is_rural + is_coal_region + 
##     country_code, family = binomial, data = eb19_df)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.7690  -1.0253  -0.8165   1.2264   1.9085  
## 
## Coefficients:
##                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)        -0.1975096  0.0921551  -2.143 0.032095 *  
## pm10                0.0068505  0.0017445   3.927 8.60e-05 ***
## so2                 0.1381994  0.0405867   3.405 0.000662 ***
## age_exact          -0.0075018  0.0007873  -9.529  < 2e-16 ***
## is_highly_educated  0.2953905  0.0311127   9.494  < 2e-16 ***
## is_rural           -0.1277983  0.0313321  -4.079 4.53e-05 ***
## is_coal_region     -0.2624005  0.0640233  -4.099 4.16e-05 ***
## country_codeBE     -0.3290891  0.0916117  -3.592 0.000328 ***
## country_codeBG     -0.6470116  0.1125114  -5.751 8.89e-09 ***
## country_codeCY      0.8471483  0.1273306   6.653 2.87e-11 ***
## country_codeCZ     -0.5754008  0.0965974  -5.957 2.57e-09 ***
## country_codeDE      0.0106430  0.0856322   0.124 0.901088    
## country_codeDK      0.0577724  0.0925391   0.624 0.532429    
## country_codeEE     -0.8041188  0.0989047  -8.130 4.28e-16 ***
## country_codeES      1.1266903  0.0941495  11.967  < 2e-16 ***
## country_codeFI     -0.2617501  0.0946837  -2.764 0.005702 ** 
## country_codeFR      0.0130239  0.1639339   0.079 0.936678    
## country_codeGB      0.2454631  0.0891845   2.752 0.005918 ** 
## country_codeGR      0.2169278  0.1209199   1.794 0.072816 .  
## country_codeHR     -0.1632727  0.1001563  -1.630 0.103064    
## country_codeHU      0.5779928  0.1020987   5.661 1.50e-08 ***
## country_codeIT     -0.1427249  0.0940144  -1.518 0.128985    
## country_codeLU     -0.3111627  0.1140426  -2.728 0.006363 ** 
## country_codeLV     -0.6246590  0.0963526  -6.483 8.99e-11 ***
## country_codeMT      0.3303363  0.1228611   2.689 0.007173 ** 
## country_codeNL      0.1707080  0.0902189   1.892 0.058470 .  
## country_codePL     -0.2843198  0.1228657  -2.314 0.020664 *  
## country_codePT      0.1447295  0.0899079   1.610 0.107452    
## country_codeRO     -0.0479674  0.0930433  -0.516 0.606177    
## country_codeSE      0.4865939  0.0922486   5.275 1.33e-07 ***
## country_codeSK     -0.2427307  0.0964652  -2.516 0.011861 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 30568  on 22401  degrees of freedom
## Residual deviance: 29313  on 22371  degrees of freedom
##   (5253 observations deleted due to missingness)
## AIC: 29375
## 
## Number of Fisher Scoring iterations: 4

summary( glm ( transition_policy_agree ~ pm10 + so2 + age_exact +
                 is_highly_educated + is_rural, 
               data = eb19_df, 
               family = binomial ))

## 
## Call:
## glm(formula = transition_policy_agree ~ pm10 + so2 + age_exact + 
##     is_highly_educated + is_rural, family = binomial, data = eb19_df)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.1970   0.5035   0.5803   0.6495   0.8465  
## 
## Coefficients:
##                     Estimate Std. Error z value Pr(>|z|)    
## (Intercept)         1.807823   0.079297  22.798  < 2e-16 ***
## pm10                0.005092   0.001239   4.108 3.99e-05 ***
## so2                 0.003274   0.051410   0.064  0.94922    
## age_exact          -0.009781   0.000988  -9.900  < 2e-16 ***
## is_highly_educated  0.396743   0.039735   9.985  < 2e-16 ***
## is_rural           -0.107448   0.037953  -2.831  0.00464 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 20488  on 22401  degrees of freedom
## Residual deviance: 20250  on 22396  degrees of freedom
##   (5253 observations deleted due to missingness)
## AIC: 20262
## 
## Number of Fisher Scoring iterations: 4

Next Steps

After careful documentation, we will very soon publish all the processed, clean datasets on the EU Zenodo repository with clear digital object identification and versioning.
We will seek contact with the Secretariat of the Initiative for Coal Regions in Transition to process all the data annexes in the EU coal regions: opportunities and challenges ahead report.
With our volunteers we want to include coal regions from the United States, Latin America, Australia, Africa first – because we have harmonized survey results – and gradually add the rest of the world.
We will ask political scientists and policy researchers to interpret our findings.

Reprex Open Data Day 2021

Sat, 06 Mar 2021 15:30:00 +0200

Open Data Day is an annual celebration of open data all over the world. It is an opportunity to show the benefits of open data and encourage the adoption of open data policies in government, business, and civil society. Reprex is a start-up that utilizes open data with open-source reproducible research: please challenge us with your data requests and participate in our web events.

The Reprex Open Data Day 2021 will be two informal conversations based on a series of run up introductory blogposts centered around two themes. Because important guests became ill in the last days, we are going to consolidate the two talks into one with less structure. We want to create an informal, inclusive, collaborative online event on International Open Data Day 2021. Please, grab a tea, coffee, or even a beer, and join us for an informal conversation. We hope that we will finish the afternoon with ideas on new, open-data driven collaborations.

9.30 EST / 15.30 CET: Open collaboration in business, policy and science. Creating evidence-based policy, business strategy or scientific research with small contributions with independent components with incentives. Short introduction with examples: joining environmental sensory data and public opinion data on maps; creating harmonized datasets across the Arab world. Survey harmonization, mapping, data products. Scaling up open collaboration: making small organizations competitive with big tech in the big data era. Data sharing, data pooling, data altruism and observatories. The new European trustworthy AI and data governance agenda.

You can click through a short presentation to familiarize yourself with our topics.

See you here.

Case studies:

We are connecting raw survey data about Climate Awareness in Eurobarometer surveys. Here is the reproduction code (intermediate to advanced R needed.) You should use the development version of our retroharmonize package at github.com/antaldaniel/retroharmonize
We are tracking changes in the boundaries of provinces, states, counties, parishes with our regions open source software – reproduction code here. You will need our regions package which is available on CRAN or in the rOpenGov GitHub repo.
We will talk about how to join this with air pollution data and put it on the map with Milos Popovic, who prepared this nice choropleth animation.

We will discuss data observatories (permanent data collection programs), open collaboration (open-source inspired way of cooperation among small and large independent actors) and data altruism.

Any questions: send Daniel a message on Keybase, Whatsapp or email.

Hello on International #OpenDataDay2021 from🌷 the Hague!
- We have brought some new data to the light about 🌡climate change awareness
- We created some tutorials how to harmonize survey and geographical data
- Join us at 9.30 EST/15.30 CET 👇https://t.co/7J7pvi3sPC #ODD2021 pic.twitter.com/DwkGQaDhW1
— dataandlyrics (@dataandlyrics) March 6, 2021

Data Curation

Thu, 21 Jan 2021 00:00:00 +0000

If you cannot find the right data for your policy evaluation, your consulting project, your PhD thesis, your market research, or your scientific research project, it does not mean that the data does not exist, or that it is not available for free. In our experience, up to 95% of available open data is never used, because potential users do not realize it exists or do not know how to access it.

Every day, thousands of new datasets become available via the EU open data regime, freedom of information legislation in the United States and other jurisdictions, or open science and scientific reproducibility requirements — but as these datasets have been packaged or processed for different primary, original uses, they often require open data experts to locate them and adapt them to a usable form for reuse in business, scientific, or policy research.

The creative and cultural industries often do not participate in government statistics programs because these industries are typically comprised of microenterprises that are exempted from statistical reporting and that file only simplified financial statements and tax returns. This means that finding the appropriate private or public data sources for creative and cultural industry uses requires particularly good data maps.

Data curation means that we are continuously mapping potential data sources and sending requests to download and quality test the most current data sources. Our CEEMID project has produced several thousand indicators, of which a few dozen are available in our Demo Music Observatory.If you have specific data needs for a scientific research, policy evaluation, or business project, we can find and provide the most suitable, most current, and best value data for analysis or for ethical AI applications.

Data Processing

Thu, 21 Jan 2021 00:00:00 +0000

Data analysts spend 80% of their time on data processing, even though computers can perform these task much faster, with far less errors, and they can document the process automatically. Data processing can be shared: an analyst in a company and an analyst in an NGO does not have to reprocess the very same data twice*

See our blogpost How We Add Value to Public Data With Imputation and Forecasting?.

Public data sources are often plagued by missng values. Naively you may think that you can ignore them, but think twice: in most cases, missing data in a table is not missing information, but rather malformatted information. This approach of ignoring or dropping missing values will not be feasible or robust when you want to make a beautiful visualization, or use data in a business forecasting model, a machine learning (AI) applicaton, or a more complex scientific model. All of the above require complete datasets, and naively discarding missing data points amounts to an excessive waste of information. In this example we are continuing the example a not-so-easy to find public dataset.

Completing missing datapoints requires statistical production information (why might the data be missing?) and data science knowhow (how to impute the missing value.) If you do not have a good statistician or data scientist in your team, you will need high-quality, complete datasets. This is what our automated data observatories provide.

See our blogpost about the Data Sisyphus blogpost.

We have a better solution. You can always rely on our API to import directly the latest, best data, but if you want to be sure, you can use our regular backups on Zenodo. Zenodo is an open science repository managed by CERN and supported by the European Union. On Zenodo, you can find an authoritative copy of our indicator (and its previous versions) with a digital object identifier, for example, 10.5281/zenodo.5652118. These datasets will be preserved for decades, and nobody can manipulate them. You cannot accidentally overwrite them, and we have no backdoor access to modify them.

Data-as-Service

Thu, 21 Jan 2021 00:00:00 +0000

We want to ensure that individual researchers, artists, and professionals, as well as NGOs and small and large organizations can benefit equally from big data in the age of artificial intelligence.

Big data creates inequality and injustice because it is only the big corporations, big government agencies, and the biggest, best endowed universities that can finance long-lasting, comprehensive data collection programs. Big data, and large, well-processed, tidy, and accurately imputed datasets allow them to unleash the power of machine learning and AI. These large entities are able to create algorithms that decide the commercial success of your product and your artwork, giving them a competitive edge against smaller competitors while helping them evade regulations.

Check out our iotables software that helps the use of national accounts data from all EU members states to create economic direct, indirect and induced economic impact calculation, such as employment multipliers or GVA affects of various cultural and creative economy policies.

Check out our regions software that helps the harmonization of various European and African standardized surveys.

Check out our retroharmonize software that helps the harmonization of various European and African standardized surveys.

retroharmonize R package for survey harmonization

Tue, 25 Aug 2020 00:00:00 +0000

Retrospective data harmonization

The vignette Working With The labelled_spss_survey Class provides more information about the labelled_spss_survey() class.

In Harmonize Value Labels we discuss the characteristics of the labelled_spss_survey() class and demonstrates the problems that using this class solves.

We also provide three extensive case studies illustrating how the retroharmonize package can be used for ex-post harmonization of data from cross-national surveys:

The creators of retroharmonize are not affiliated with either Afrobarometer, Arab Barometer, Eurobarometer, or the organizations that designs, produces or archives their surveys.

Citing the data sources

Citing the retroharmonize R package

For main developer and contributors, see the package homepage.

This work can be freely used, modified and distributed under the GPL-3 license:

citation("retroharmonize")
#> 
#> To cite package 'retroharmonize' in publications use:
#> 
#>   Daniel Antal (2021). retroharmonize: Ex Post Survey Data
#>   Harmonization. R package version 0.1.17.
#>   https://retroharmonize.dataobservatory.eu/
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {retroharmonize: Ex Post Survey Data Harmonization},
#>     author = {Daniel Antal},
#>     year = {2021},
#>     doi = {10.5281/zenodo.5006056},
#>     note = {R package version 0.1.17},
#>     url = {https://retroharmonize.dataobservatory.eu/},
#>   }

Contact

For contact information, contributors, see the package homepage.

Code of Conduct

Please note that the retroharmonize project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

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iotables R package for working with symmetric input-output tables

Wed, 03 Jun 2020 00:00:00 +0000

iotables processes all the symmetric input-output tables of the EU member states, and calculates direct, indirect and induced effects, multipliers for GVA, employment, taxation. These are important inputs into policy evaluation, business forecasting, or granting/development indicator design. iotables is used by about 800 experts around the world.

Code of Conduct

Please note that the iotables project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

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regions R package to create sub-national statistical indicators

Sun, 01 Jan 2017 00:00:00 +0000

Installation

You can install the development version from GitHub with:

devtools::install_github("rOpenGov/regions")

or the released version from CRAN:

install.packages("devtools")

regions currently takes care of 20,000 sub-divisional boundary changes in Europe since 1999. Comparing departments of France in 2013, with 2007 vojvodinas of Poland and 2018 megyék in Hungary? This extremely errorprone work is automated, as a result, you can compare 110-260 regions for far better analysis. regions was downloaded about 600 researchers in the first month after release.

You can review the complete package documentation on regions.dataobservatory.eu. If you find any problems with the code, please raise an issue on Github. Pull requests are welcome if you agree with the Contributor Code of Conduct

If you use regions in your work, please cite the package.

Motivation

Working with sub-national statistics has many benefits. In policymaking or in social sciences, it is a common practice to compare national statistics, which can be hugely misleading. The United States of America, the Federal Republic of Germany, Slovakia and Luxembourg are all countries, but they differ vastly in size and social homogeneity. Comparing Slovakia and Luxembourg to the federal states or even regions within Germany, or the states of Germany and the United States can provide more adequate insights. Statistically, the similarity of the aggregation level and high number of observations can allow more precise control of model parameters and errors.

The advantages of switching from a national level of the analysis to a sub-national level comes with a huge price in data processing, validation and imputation. The package Regions aims to help this process.

This package is an offspring of the eurostat package on rOpenGov. It started as a tool to validate and re-code regional Eurostat statistics, but it aims to be a general solution for all sub-national statistics. It will be developed parallel with other rOpenGov packages.

Sub-national Statistics Have Many Challenges

Frequent boundary changes: as opposed to national boundaries, the territorial units, typologies are often change, and this makes the validation and recoding of observation necessary across time. For example, in the European Union, sub-national typologies change about every three years and you have to make sure that you compare the right French region in time, or, if you can make the time-wise comparison at all.
Hierarchical aggregation and special imputation: missingness is very frequent in sub-national statistics, because they are created with a serious time-lag compared to national ones, and because they are often not back-casted after boundary changes. You cannot use standard imputation algorithms because the observations are not similarly aggregated or averaged. Often, the information is seemingly missing, and it is present with an obsolete typology code.

Package functionality

Generic vocabulary translation and joining functions for geographically coded data
Keeping track of the boundary changes within the European Union between 1999-2021
Vocabulary translation and joining functions for standardized European Union statistics
Vocabulary translation for the ISO-3166-2 based Google data and the European Union
Imputation functions from higher aggregation hierarchy levels to lower ones, for example from NUTS1 to NUTS2 or from ISO-3166-1 to ISO-3166-2 (impute down)
Imputation functions from lower hierarchy levels to higher ones (impute up)
Aggregation function from lower hierarchy levels to higher ones, for example from NUTS3 to NUTS1 or from ISO-3166-2 to ISO-3166-1 (aggregate; under development)
Disaggregation functions from higher hierarchy levels to lower ones, again, for example from NUTS1 to NUTS2 or from ISO-3166-1 to ISO-3166-2 (disaggregate; under development)

Vignettes / Articles

Feedback?

Raise and issue on Github or get in touch. Downloaders from CRAN:

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Market size of the re-usable public sector information in Hungary

Tue, 15 Dec 2009 00:00:00 +0000

Original title in Hungarian: A közintézmények újrahasznosítható információinak piaca Magyarországon.

Mon, 01 Jan 0001 00:00:00 +0000

Eviota

Roundtable Discussions on Greening European Film Policy

Roundtable Discussions on Greening European Film Policy

Access to Green Finance

From Accounting to Environmental Accountability

Eviota for Film

Our approach

How does it work?

What is the report?

Methodology

Open collaboration

Why are we developing this service?

Future plans: Social Sustainability and Anti-Bribary

MusicAIRE Green Recovery in the Music Sector

Sustainability measurement and reporting for the CFO

New trends in controlling: the strategic and digital challenge

Sustainability measurement and reporting for the CFO - the case of the music and film industries

Slide navigation

Contents

Introduction

Timeline

Future Timeline

Sustainability Reporting Architecture

Our approach

Cultural & Creative Sectors Industries Approach

Main Features

Connected Financial and Sustainability Reporting

Ongoing Standardization

Why Are We Developing Eviota for Music?

CSRD/EFRAG Timeline in the EU

Is There A Film Industry Version?

Questions?

Data Observatory Labs

Slide navigation

Short Conceptual Video

WP Project Coordination

WP Sustainability

WP Survey Recycling

WP Heritage Reuse

WP AI & Big Data That Works For Everyone

Questions?

Data Observatory Labs

WP 1 Coordination

WP Survey Recycling

WP Heritage Reuse

WP AI & Big Data That Works For Everyone

Potential partners

In 90 secs: conceptual introduction

Music Eviota

Slide navigation

Contents

Introduction

Sustainability Reporting Architecture

Our approach

Main Features

Connected Financial and Sustainability Reporting

Ongoing Standardization

Why Are We Developing Eviota for Music?

CSRD/EFRAG Timeline in the EU

Is There A Film Industry Version?

Questions?

LineCheck, Milano, IT

Green Deal, this time for real

Beta test our sustainabilitiy reporting tool

Digital Music Observatory: survive in the music business without a data engineer

Harmonizing surveys on gender (in)equaliaty

Reprex Wins Audience Prize in The Hague Innovators Challenge

Reprex Nominated for The Hague Innovators Award

Big Data for All: Building Collaborative Data Observatories

The event invitation text and links

In the Q&A, we can discuss many things

Check out our projects

Reprex: the impact startup

iotables: Integrate Data from Reliable Statistical Sources for Economic and Environmental Impact Analysis

Reprex

Big Data Creates Inequalities

Slide navigation

Big data that works for all

Connected financial and sustainability reporting based on open data

Data problems: Reprex