FAIR Principles: Interpretations and Implementation Considerations

Annika Jacobsen(Leiden University), Ricardo de Miranda Azevedo(Maastricht University), Nick Juty(E Ink (South Korea)), Dominique Batista(University of Oxford), Simon J. Coles(Civil Service), Ronald Cornet(GGD Amsterdam), Mélanie Courtot(European Bioinformatics Institute), Mercè Crosas(Harvard University Press), Michel Dumontier(Maastricht University), Chris T. Evelo(Maastricht University), Carole Goble(British Academy), Giancarlo Guizzardi(Free University of Bozen-Bolzano), Karsten Kryger Hansen(Data Archiving and Networked Services (DANS)), Ali Hasnain(National University of Ireland), Kristina Hettne(Leiden University), Jaap Heringa(Vrije Universiteit Amsterdam), Rob Hooft(Dutch Techcentre for Life Sciences), Melanie Imming(Data Archiving and Networked Services (DANS)), Keith Jeffery(BCS — The Chartered Institute for IT), Rajaram Kaliyaperumal(Leiden University Medical Center), Martijn G. Kersloot(GGD Amsterdam), Christine R. Kirkpatrick(San Diego Supercomputer Center), Tobias Kuhn(The Centers), Ignasi Labastida i Juan(European Union), Barbara Magagna(Environment Agency Austria), Peter McQuilton(University of Oxford), Natalie Meyers(Digital Science (United States)), Annalisa Montesanti(Health Research Board), Mirjam van Reisen(Leiden University), Philippe Rocca‐Serra(Université de Bordeaux), Robert Pergl(Technical University of Liberec), Susanna‐Assunta Sansone(University of Oxford), Luiz Olavo Bonino da Silva Santos(Care International), Juliane Schneider(New York Public Library), George Strawn(United Nations), Mark Thompson(Leiden University Medical Center), Andra Waagmeester(Terumo (Belgium)), Tobias Weigel(Universität Hamburg), Mark D. Wilkinson(Centre for Plant Biotechnology and Genomics), Egon Willighagen(Maastricht University), Peter Wittenburg(Max Planck Computing and Data Facility), Marco Roos(Leiden University Medical Center), Barend Mons(Leiden University Medical Center), Erik Schultes(Leiden University)
Data Intelligence
November 1, 2019
Cited by 454Open Access
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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.


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