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December 2020: Publications in the Data Science Journal

Investigation and Development of the Workflow to Clarify Conditions of Use for Research Data Publishing in Japan
Author: Yasuyuki Minamiyama, Ui Ikeuchi, Kunihiko Ueshima, Nobuya Okayama, Hideaki Takeda

Open Data Challenges in Climate Science
Author: Francesca Eggleton, Kate Winfield

Historical Scientific Analog Data: Life Sciences Faculty’s Perspectives on Management, Reuse and Preservation
Author: Shannon L. Farrell, Lois G. Hendrickson, Kristen L. Mastel , Julia A. Kelly

Incorporating RDA Outputs in the Design of a European Research Infrastructure for Natural Science Collections
Author: Sharif Islam , Alex Hardisty, Wouter Addink, Claus Weiland, Falko Glöckler

Implementing the RDA Research Data Policy Framework in Slovenian Scientific Journals
Author: Janez Štebe , Maja Dolinar, Sonja Bezjak, Ana Inkret

Role of a Croatian National Repository Infrastructure in Promotion and Support of Research Data Management
Author: Kristina Posavec , Draženko Celjak, Ljiljana Jertec Musap

39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition
Author: Caterina Caracciolo , Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David, Leyla Garcia, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa

Going Digital: Persistent Identifiers for Research Samples, Resources and Instruments
Author: Esther Plomp

Open Science for a Global Transformation: Call for Papers for a Special Collection in Data Science Journal

2021 is likely to be a very significant year for the transformation of science and the adoption of Open Science and FAIR practices.  UNESCO, the educational, scientific and cultural organization of the United Nations, is preparing a Recommendation on Open Science to be adopted (it is hoped) by the UNESCO General Assembly in November 2021.  Against the background of the COVID-19 pandemic—which has accentuated the need for international research cooperation, scientific transparency and data sharing for robust evidence and informed decisionmaking—UNESCO has conducted a global consultation and drafting process for the Recommendation on Open Science.

In June 2020, CODATA coordinated and published ‘Open Science for a Global Transformation’, a response to the UNESCO consultation from a number of partner international data organisations. The first draft of the UNESCO Recommendation on Open Science was released for feedback from member states and the scientific community in early October 2020.  

To encourage further discussion around the issues addressed in ‘Open Science for a Global Transformation’ and the draft Recommendation on Open Science, we invite the global research data community to share their views, critiques and positions in an open discussion prompted by the draft recommendation and the CODATA-coordinated document.  Our intention is to create a forum for debate and ultimately a body of reasoned argumentation which can be referenced throughout the UNESCO process.  In the Data Science Journal, this will also form a significant body of scholarly material exploring and defining issues around Open Science. 

Three venues are envisaged for this discussion:

We invite scholarly essays, review articles, practice papers and research articles that discuss issues around Open Science and relate their argumentation to topics addressed in ‘Open Science for a Global Transformation’ and in the draft UNESCO Recommendation on Open Science.  Please consult the scope of the Data Science Journal and the descriptions of the categories of article.  All submissions should be scholarly and will be peer reviewed.  While ensuring quality and rigour, the editorial team will do its best to expedite publication.  The collection will serve as a scholarly contribution to the global debate on the content of the UNESCO Recommendation and on the contours and characteristics of Open Science in general.  We will aim to ensure that any articles submitted by 15 December, will be published in time to be referenced during the timescales of the UNESCO review process (see below).  Accepted articles submitted after that date will be included in the collection on Open Science and will still be relevant to the ongoing discussion and debate around the Recommendation.  Submit contributions to the Special Collection at 

If you would like to contribute to this discussion through something more like a blog post, and opinion piece, or if you would like to test your ideas before submitting an more scholarly contribution to the Data Science Journal, then you can do this through a curated collection on the CODATA blog.  To do so, please send your piece to  The proposed blog posted will be checked by the CODATA secretariat and a member of the author group and then published.

  • Threads on the CODATA International List

Finally, we also encourage the community to share ideas and discussion of the draft Recommendation through the CODATA International news and discussion list.  Simply subscribe to the list and send your ideas and views to  Be sure to start the title of your message with ‘UNESCO Open Science Recommendation’.

We welcome any and all contributions to these forums!

The UNESCO Consultation and Recommendation on Open Science

The practices of Open Science and calls for transformations of the way science is practiced, communicated and assessed have accelerated in the past two decades.  Leading transnational organisations including the International Council for Science, OECD and European Commission, have recognised Open Science as the key mode for research in the 21st century.  Recognising the significance of the movement, but also aware that in a ‘fragmented scientific and policy environment, a global understanding of the meaning, opportunities and challenges of Open Science is still missing’, UNESCO launched a global consultation in March 2020.  This has as its objective ‘to build a coherent vision of Open Science and a shared set of overarching principles and shared values’ through the development of ‘an international standard-setting instrument on Open Science in the form of a UNESCO Recommendation on Open Science’ to be agreed at the UNESCO General Assembly in November 2021.

This is a precious opportunity for the worldwide research community to express priorities, report relevant experiences, and share visions for the future, thus helping to shape a new global order for research and its governance. A UNESCO Recommendation is a timely, important and urgent way to promote Open Science and provide concrete suggestions to national governments and research organisations, including scholarly societies, universities, and research groups.

Consultation on the Draft UNESCO Recommendation

The first draft of the UNESCO Recommendation was produced, on the basis of the consultation and supported by the UNESCO Open Science team, by an international Open Science Advisory Committee, and was published for consultation in early October 2020.  Feedback on the draft Recommendation is invited from UNESCO Member States and from the global research community until the end of January 2021.  After that point, the Advisory Committee will resume its work to produce a second draft.  The revised draft, approved by the UNESCO Director General will be sent to Member States in April 2021.  This will be followed by a process of negotiation culminating, it is hoped, in the adoption of the text at the General Conference in November 2021.

The draft Recommendation offers a definition of Open Science and it presents a set of core values and principles.  Importantly, it lays out seven key areas of action, directed at Member States and other named stakeholders:

  1. Promoting a common understanding of Open Science and diverse paths to Open Science
  2. Developing an enabling policy environment for Open Science 
  3. Investing in Open Science infrastructures
  4. Investing in capacity building for Open Science
  5. Transforming scientific culture and aligning incentives for Open Science
  6. Promoting innovative approaches for Open Science at different stages of the scientific process  
  7. Promoting international cooperation on Open Science

Like any such document, the draft Recommendation tries to synthesise and reconcile a range of views and positions (not necessarily opposed or divergent, but with different emphases, concerns and priorities).  Therefore, discussion and critique of the ‘Open Science for a Global Transformation’ document and the draft Recommendation are to be expected and encouraged.  It is precisely through such scrutiny that we can ensure that this global statement on Open Science is as robust as possible.

We invite the global research data community, such as the readership of the Data Science Journal and those engaged with the Data Together organisations and other data and information organisations, to seize this opportunity and to use these venues described above to share scholarly discussion, opinion pieces, critiques and proposals in relation to the UNESCO process and Recommendation.  This will both provide a resource which can be fed into the direct process of consultation and feedback, and offer a longer-lasting collection of public and reasoned views and debate on the age-defining issue of Open Science.

We are particularly interested in articles documenting regional dimensions, exploring neglected issues, critiques and arguments to improve the Recommendation, and discussions of issues to address in order to ensure positive and equitable outcomes from Open Science implementation. There will also be opportunities for further discussion at the International (Virtual) FAIR Convergence Symposium in December 2020 and other events such as the Virtual RDA Plenary meeting in November 2020. 

An interview with Alena Rybkina, Vice-President, CODATA on “Building foundation for a world of open data and open science”

This interview is with Alena Rybkina, a Vice President of the CODATA Executive Committee.

“Building foundation for a world of open data and open science” was posted in Options magazine (published by IIASA). The link to online magazine –

Read the full interview here

A Data Ecosystem to Defeat COVID-19

Bapon Fakhruddin is a specialist in climate and hydrological risk assessment with a focus on the design and implementation of hazard early warning systems and emergency communication. He is Technical Director, Disaster Risk Reduction and Climate Resilience at Tonkin + Taylor, New Zealand. He is also Co-Chair for the Open Data for Global Disaster Risk Research task force with CODATA.

Bapon Fakhruddin discusses why the COVID-19 pandemic requires thinking and decision making supported by a data ecosystem which looks much further into the future than previous short-term approaches.

The novel coronavirus disease (COVID-19) has created a human crisis globally, which has demanded an array of drastic, immediate responses. The United Nations (UN) Secretary-General has swiftly called for action, “for the immediate health response required to suppress transmission of the virus to end the pandemic and to tackle the many social and economic dimensions of this crisis[1]“. The pandemic also requires thinking and decision making supported by a data ecosystem that is more complete than currently, and which looks much further into the future than previous short-term approaches.

The COVID-19 outbreak has led to the proliferation of initiatives to facilitate open access to scientific research and databases and encourage research collaboration through digital platforms. However, there are concerns about the quality of data and publications provided in near real-time, leading to potentially poor decision making. These issues include comparability and interpretation of data, notably between countries, insufficient specification of methodology, and political acceptance of invalid results potentially biasing scientific methods. A call for data and research is necessary in relation to the discussion of the transmission of the disease.

Read more:


IIASA-CODATA Workshop, Laxenburg, Vienna – 24-25 February

CODATA and IIASA have co-convened a Workshop on Big (and FAIR) Data and Systems Analysis, 24-25 February. The workshop is organised by the CODATA Task Group on Advanced Mathematical Tools for Data-Driven Applied Systems Analysis which is working closely with IIASA (the International Institute for Applied Systems Analysis) on the interface of data, mathematical tools and systems analysis.

The workshop programme may be accessed here

The workshop also provides an important occasion to explore the opportunities for collaboration between CODATA and IIASA, on matters of FAIR data, data stewardship and the ISC CODATA Decadal Programme on Making Data Work for Cross-Domain Challenges.

CRIS2020 euroCRIS Conference: Call for Papers, deadline 31 March

euroCRIS, the International Organisation for Research Information will hold its biennial International Conference (CRIS2020) from June 17-20 in Limassol, Cyprus: New Technologies and Open Science in CRIS Systems.

All the necessary information on the CfP for CRIS2020 can be found at: including a range of themes.

The deadline for proposals is 31 March.

euroCRIS and CODATA are complementary organizations active in the research information domain and pursuing common goals, and euroCRIS is one of CODATA’s strategic partners.  Therefore, we are glad to bring the Call for Papers for this conference to your attention as we are convinced that contributions from within the CODATA community could be of interest for the euroCRIS community and beneficial to both organisations in the pursuit of their mission.

Second LAC Scientific Data Management Workshop: Final Extension to Call for Abstracts and Register Online

Second Latin America and the Caribbean Scientific Data Management Workshop

Owing to a number of requests, abstract submission for the Workshop has been extended one (very) last time to Sunday, 1 March. To enable people to already start planning their journeys, abstracts received thus far will now be reviewed and the authors notified of acceptance.

This Workshop is convened by WDS, in collaboration with the Brazilian Academy of Sciences, the São Paulo Research Foundation, and the Research Data Alliance (RDA). It builds on the success of the First Latin America and Caribbean Workshop in 2018 that explored the data landscape in the region to understand the opportunities and challenges, and discussed how data initiatives could be supported by WDS. The Second Workshop will continue discussions on data management best practices for data repositories and on new trends and perspectives for scientific data systems. However, there will also be a greater emphasis on analyzing and finding concrete solutions to the technical, political, and infrastructure issues identified during the First Workshop.

We invite all researchers and scientists currently involved in scientific data management initiatives in the Latin American and the Caribbean region to present their experiences, research, operations, and projects or programmes at the Workshop. Abstracts for short oral presentations must be in English and should not exceed 3000 characters. The deadline for abstract submission is Sunday, 1 March.


Online registration is now open. The process is managed by FAPESP, who officially invite you here to join us in São Paulo.

For more information on the Workshop, Call for Abstracts, and Registration, please see the Workshop website.

Save the Date: International FAIR Convergence Symposium & CODATA General Assembly in Paris on 22-24 October 2020

Please save the date for the International FAIR Convergence Symposium convened by CODATA and GO FAIR on October 22-23 2020; followed by the CODATA General Assembly, 24 October 2020.

Where: Paris, France
Venue: TBC

The International FAIR Convergence Symposium will provide a forum for advancing international and cross-domain convergence around FAIR. The event will bring together a global data community with an interest in combining data across domains for a host of research issues – including major global challenges, such as those relating to the Sustainable Development Goals. Outcomes will directly link to the CODATA Decadal Programme ‘Data for the Planet: making data work for cross-domain grand challenges’ and to the developments of GO FAIR community towards the Internet of FAIR data and services.

Participation is open to ALL researchers and data experts, particularly those with an interest in participating in the CODATA Decadal Programme and in the GO FAIR Community. There will be a mechanism for participants to organise workshop sessions: for example, GO FAIR INs, CODATA TGs and other groups are encouraged to participate and to organise sessions.

The two-day Symposium will be followed on 24 October by the CODATA General Assembly which will see the election of new Officers, Executive Committee and Task Groups.

More information about the event and means of participation will follow in due course.

We are looking forward to welcoming you in Paris.

Special Issue on Emerging FAIR Practices Published in Data Intelligence

A special issue on The FAIR Principles: First Generation Implementation Choices and Challenges, has been recently published in Data Intelligence. This special issue, organized by Prof. Dr. Barend Mons, the senior author of the foundational paper on FAIR Principles and the President of CODATA, Dr. Erik Schultes and Dr. Annika Jacobsen, contains 28 articles authored by 135 experts from 14 countries/territories worldwide.

In this special issue, the original conception of the FAIR principles and what they are intended to cover is explained in detail (see, and the prototype of FAIR Implementation Profile and the FAIR convergence Matrix which aims to coordinate a broadly accepted, widely used FAIR implementation approaches is presented (see The first 16 articles are bundled as a relevant set of “first generation” implementations and emerging practices in the context of FAIR and the last 12 articles focus more on gaps in existing technology and practices encountered or envisioned and offer opinions and propose directional solutions for the relevant communities to develop FAIR guided approaches. Although this special issue only has covered a limited number of all early endeavors, “it will likely inspire other efforts to bundle and expose useful and hopefully reusable solutions”, as stated by Prof. Dr. Rianne Letschert in her brief introductory comment to this special issue. 

The TOC of the issue is listed below. To go to a full-text page, please just click on the title.


Editorial: The FAIR Principles: First Generation Implementation Choices and Challenges

Barend Mons, Erik Schultes, Fenghong Liu & Annika Jacobsen

1 FAIR Principles: Interpretations and Implementation Considerations

  1. Jacobsen, R. de Miranda Azevedo, N. Juty, D. Batista, S. Coles, R. Cornet, … & E. Schultes.

2 Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR

Nick Juty, Sarala M. Wimalaratne, Stian Soiland-Reyes, John Kunze, Carole A. Goble & Tim Clark

3 Making Data and Workflows Findable for Machines

Tobias Weigel, Ulrich Schwardmann, Jens Klump, Sofiane Bendoukha & Robert Quick

4 The “A” of FAIR – As Open as Possible, as Closed as Necessary

Annalisa Landi, Mark Thompson, Viviana Giannuzzi, Fedele Bonifazi, Ignasi Labastida, Luiz Olavo Bonino da Silva Santos & Marco Roos

5 A Generic Workflow for the Data FAIRification Process

Annika Jacobsen, Rajaram Kaliyaperumal, Luiz Olavo Bonino da Silva Santos, Barend Mons, Erik Schultes, Marco Roos & Mark Thompson

6 Ontology-based Access Control for FAIR Data

Christopher Brewster, Barry Nouwt, Stephan Raaijmakers & Jack Verhoosel

7 FAIR Data Reuse – the Path through Data Citation

Paul Groth, Helena Cousijn, Tim Clark & Carole Goble

8 Making FAIR Easy with FAIR Tools: From Creolization to Convergence

Mark Thompson, Kees Burger, Rajaram Kaliyaperumal, Marco Roos & Luiz Olavo Bonino da Silva Santos

9 Distributed Analytics on Sensitive Medical Data: The Personal Health Train

Oya Beyan, Ananya Choudhury, Johan van Soest, Oliver Kohlbacher5, Lukas Zimmermann, Holger Stenzhorn, Md. Rezaul Karim, Michel Dumontier, Stefan Decker, Luiz Olavo Bonino da Silva Santos & Andre Dekker 

10 FAIR Computational Workflows

Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes, Daniel Garijo,Yolanda Gil, Michael R. Crusoe, Kristian Peters & Daniel Schober

11 FAIR Data and Services in Biodiversity Science and Geoscience

Larry Lannom, Dimitris Koureas & Alex R. Hardisty

12 Taking FAIR on the ChIN: The Chemistry Implementation Network

Simon J. Coles, Jeremy G. Frey, Egon L. Willighagen & Stuart J. Chalk

13 Growing the FAIR Community at the Intersection of the Geosciences and Pure and Applied Chemistry

Shelley Stall, Leah McEwen, Lesley Wyborn, Nancy Hoebelheinrich & Ian Bruno

14 Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data

Peter McQuilton, Dominique Batista, Oya Beyan, Ramon Granell, Simon Coles, Massimiliano Izzo … & Susanna-Assunta Sansone

15 FAIR Convergence Matrix: Optimizing the Reuse of Existing FAIR-Related Resources

Hana Perg Sustkova, Kristina Maria Hettne, Peter Wittenburg, Annika Jacobsen, Tobias Kuhn … & Erik Schultes

16 The FAIR Funding Model: Providing a Framework for Research Funders to Drive the Transition toward FAIR Data Management and Stewardship Practices

Margreet Bloemers & Annalisa Montesanti

17 Ontology, Ontologies and the “I” of FAIR

Giancarlo Guizzardi

18 How to (Easily) Extend the FAIRness of Existing Repositories

Mark Hahnel & Dan Valen

19 Licensing FAIR Data for Reuse

Ignasi Labastida1 & Thomas Margoni

20 Data Management Planning: How Requirements and Solutions are Beginning to Converge

Sarah Jones, Robert Pergl, Rob Hooft, Tomasz Miksa, Robert Samors, Judit Ungvari … & Tina Lee 

21 Social Data: CESSDA Best Practices

Ron Dekker

22 State of FAIRness in ESFRI Projects

Peter Wittenburg, Franciska de Jong, Dieter van Uytvanck, Massimo Cocco, Keith Jeffery, Michael Lautenschlager … & Petr Holub

23 GO FAIR Brazil: A Challenge for Brazilian Data Science

Luana Sales, Patrícia Henning, Viviane Veiga, Maira Murrieta Costa, Luís Fernando Sayão, Luiz Olavo Bonino da Silva Santos & Luís Ferreira Pires

24 FAIR Practices in Africa

Mirjam van Reisen, Mia Stokmans, Munyaradzi Mawere, Mariam Basajja, Antony Otieno Ong’ayo, Primrose Nakazibwe, Christine Kirkpatrick & Kudakwashe Chindoza

25 FAIR Practices in Europe

Peter Wittenburg, Michael Lautenschlager, Hannes Thiemann, Carsten Baldauf & Paul Trilsbeek

26 Towards the Tipping Point for FAIR Implementation

Mirjam Van Reisen, Mia Stokmans, Mariam Basajja, Antony Otieno Ong’ayo, Christine Kirkpatrick & Barend Mons

27 The Need of Industry to Go FAIR

Herman van Vlijmen, Albert Mons, Arne Waalkens, Wouter Franke, Arie Baak, Gerbrand Ruiter … & Jean-Marc Neefs.

28 Considerations for the Conduction and Interpretation of FAIRness Evaluations

Ricardo de Miranda Azevedo, Mark Wilkinson & Michel Dumontier


About Data Intelligence

Data Intelligence (DI) journal, a new publication jointly launched by the MIT Press and Chinese Academy of Sciences. It is chaired by Prof. Barend Mons. Co-Editors in Chief of the journal are Prof. Jim Hendler at Rensselaer Polytechnic Institute, USA , Prof Huizhou Liu, the Chinese Academy of Sciences and Prof. Ying Ding at University of Texas at Austin.

RDAP 2020 Summit registration now open

Registration is now open for the RDAP (Research Data Access and Preservation Association) 2020 Summit in Santa Fe, NM! The Summit, which will take place at the Santa Fe Convention Center, will run March 11 and 12, with an additional day of workshops on March 13. Registration for the Summit is $209; workshops are an additional $50 each, although one is being provided free of charge thanks to a grant from the Institute of Museum and Library Services. You can also now view our program schedule, including on Sched.

You can reserve a room at one of our two conference hotels.