TY - JOUR
T1 - Fair principles
T2 - Interpretations and implementation considerations
AU - Jacobsen, Annika
AU - Azevedo, Ricardo de Miranda
AU - Juty, Nick
AU - Batista, Dominique
AU - Coles, Simon
AU - Cornet, Ronald
AU - Courtot, M. lanie
AU - Crosas, Mercè
AU - Dumontier, Michel
AU - Evelo, Chris T.
AU - Goble, Carole
AU - Guizzardi, Giancarlo
AU - Hansen, Karsten Kryger
AU - Hasnain, Ali
AU - Hettne, Kristina
AU - Heringa, Jaap
AU - Hooft, Rob W. W.
AU - Imming, Melanie
AU - Jeffery, Keith G.
AU - Kaliyaperumal, Rajaram
AU - Kersloot, Martijn G.
AU - Kirkpatrick, Christine R.
AU - Kuhn, Tobias
AU - Labastida, Ignasi
AU - Magagna, Barbara
AU - McQuilton, Peter
AU - Meyers, Natalie
AU - Montesanti, Annalisa
AU - van Reisen, Mirjam
AU - Rocca-Serra, Philippe
AU - Pergl, Robert
AU - Sansone, Susanna-Assunta
AU - Santos, Luiz Olavo Bonino da Silva
AU - Schneider, Juliane
AU - Strawn, George
AU - Thompson, Mark
AU - Waagmeester, Andra
AU - Weigel, Tobias
AU - Wilkinson, Mark D.
AU - Willighagen, Egon L.
AU - Wittenburg, Peter
AU - Roos, Marco
AU - Mons, Barend
AU - Schultes, Erik
N1 - doi: 10.1162/dint_r_00024
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117812833&origin=inward
U2 - https://doi.org/10.1162/dint_r_00024
DO - https://doi.org/10.1162/dint_r_00024
M3 - Editorial
SN - 2096-7004
VL - 2
SP - 10
EP - 29
JO - Data Intelligence
JF - Data Intelligence
IS - 1-2
ER -