FAIR Principles: Interpretations and Implementation Considerations

Author:

Jacobsen Annika1,de Miranda Azevedo Ricardo2,Juty Nick3,Batista Dominique4,Coles Simon5,Cornet Ronald6,Courtot Mélanie7,Crosas Mercè8,Dumontier Michel2,Evelo Chris T.9,Goble Carole3,Guizzardi Giancarlo10,Hansen Karsten Kryger11,Hasnain Ali12,Hettne Kristina13,Heringa Jaap14,Hooft Rob W.W.1415,Imming Melanie16,Jeffery Keith G.17,Kaliyaperumal Rajaram1,Kersloot Martijn G.618,Kirkpatrick Christine R.19,Kuhn Tobias14,Labastida Ignasi20,Magagna Barbara21,McQuilton Peter4,Meyers Natalie22,Montesanti Annalisa23,van Reisen Mirjam24,Rocca-Serra Philippe4,Pergl Robert25,Sansone Susanna-Assunta4,da Silva Santos Luiz Olavo Bonino26,Schneider Juliane27,Strawn George28,Thompson Mark1,Waagmeester Andra29,Weigel Tobias30,Wilkinson Mark D.31,Willighagen Egon L.9,Wittenburg Peter32,Roos Marco1,Mons Barend126ORCID,Schultes Erik2633

Affiliation:

1. Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands

2. Institute of Data Science, Maastricht University, Universiteitssingel 60, Maastricht 6229 ER, The Netherlands

3. Department of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

4. Oxford e-Research Centre, Department of Engineering Sciences, University of Oxford, Oxford OX13PJ, UK

5. School of Chemistry, Faculty of Engineering and Physical Sciences, University of Southampton, SO17 1BJ, UK

6. Amsterdam UMC, University of Amsterdam, Amsterdam 1000 GG, The Netherlands

7. European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, UK

8. Harvard University, Cambridge, Massachusetts 02138, USA

9. Department of Bioinformatics – BiGCaT, NUTRIM, Maastricht University, Maastricht 6229 ER, The Netherlands

10. Conceptual and Cognitive Modeling Research Group (CORE), Free University of Bozen-Bolzano, Bolzano 39100, Italy

11. Aalborg University, Aalborg DK-9220, Denmark

12. Insight Centre for Data Analytics, National University of Ireland Galway, H91 TK33, Ireland

13. Centre for Digital Scholarship, Leiden University Libraries, Leiden, 2333 ZA, The Netherlands

14. Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 11051081 HV Amsterdam, The Netherlands

15. Dutch Techcentre for Life Sciences (DTL), Utrecht, The Netherlands

16. SURF, Utrecht 3511 EP, The Netherlands

17. Keith G Jeffery Consultants, Faringdon, UK

18. Castor EDC, Paasheuvelweg 25, Wing 5D, 1105 BP, Amsterdam, The Netherlands

19. San Diego Supercomputer Center, University of California San Diego, La Jolla, California 92093, USA

20. Learning and Research Resources Centre (CRAI), Universitat de Barcelona, 08007 Barcelona, Spain

21. Environment Agency Austria, A-1090 Vienna, Austria

22. University of Notre Dame, 75004 Paris, France

23. Health Research Board (HRB), Dublin 2, DO2 H638, Ireland

24. Liacs Institute of Advanced Computer Science, Leiden University, 2311 GJ Leiden, The Netherlands

25. Czech Technical University in Prague, Faculty of Information Technology (FIT CTU), 160 00 Prague 6, Czech Republic

26. GO FAIR International Support & Coordination Office (GFISCO), Leiden, The Netherlands

27. Harvard Catalyst | Clinical and Translational Science Center, Boston, MA 02115, USA

28. US National Academy of Sciences, Washington DC 20418, USA

29. Micelio, Ekeren, Antwerp, Belgium

30. Deutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, Germany

31. Center for Plant Biotechnology and Genomics UPM-INIA, Madrid 28040, Spain

32. Max Planck Computing and Data Facility, Gießenbachstraße 2, 85748 Garching, Germany

33. Leiden Center for Data Science, 2311 EZ Leiden, The Netherlands

Abstract

The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability and Reusability of digital resources. This has likely contributed to the broad adoption of the FAIR principles, because individual stakeholder communities can implement their own FAIR solutions. However, it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations. Thus, while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways, for true interoperability we need to support convergence in implementation choices that are widely accessible and (re)-usable. We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations. Any self-identified stakeholder community may either choose to reuse solutions from existing implementations, or when they spot a gap, accept the challenge to create the needed solution, which, ideally, can be used again by other communities in the future. Here, we provide interpretations and implementation considerations (choices and challenges) for each FAIR principle.

Publisher

MIT Press - Journals

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference21 articles.

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