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FAIR Principles:Interpretations and Implementation Considerations 被引量:27
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作者 Annika Jacobsen Ricardo de Miranda Azevedo +41 位作者 Nick Juty Dominique Batista Simon Coles Ronald Cornet Melanie Courtot Merce Crosas Michel Dumontier Chris T.Evelo Carole Goble giancarlo guizzardi Karsten Kryger Hansen Ali Hasnain Kristina Hettne Jaap Heringa Rob W.W.Hooft Melanie Imming Keith G.Jeffery Rajaram Kaliyaperumal Martijn GKersloot Christine R.Kirkpatrick Tobias Kuhn Ignasi Labastida Barbara Magagna PeterMcQuilton Natalie Meyers Annalisa Montesanti Mirjam van Reisen Philippe Rocca-Serra Robert Pergl Susanna-Assunta Sansone Luiz Olavo Bonino da Silva Santos Juliane Schneider George Strawn Mark Thompson Andra Waagmeester Tobias Weigel Mark D.Wilkinson Egon L.Willighagen Peter Wittenburg Marco Roos Barend Mons Erik Schultes 《Data Intelligence》 2020年第1期10-29,293-302,322,共31页
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 implem... 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. 展开更多
关键词 FAIR guiding principles FAIR implementation FAIR convergence FAIR communities choices and challenges
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Ontology,Ontologies and the“I”of FAIR 被引量:1
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作者 giancarlo guizzardi 《Data Intelligence》 2020年第1期181-191,共11页
According to the FAIR guiding principles,one of the central attributes for maximizing the added value of information artifacts is interoperability.In this paper,I discuss the importance,and propose a characterization ... According to the FAIR guiding principles,one of the central attributes for maximizing the added value of information artifacts is interoperability.In this paper,I discuss the importance,and propose a characterization of the notion of Semantic Interoperability.Moreover,I show that a direct consequence of this view is that Semantic Interoperability cannot be achieved without the support of,on one hand,(i)ontologies,as meaning contracts capturing the conceptualizations represented in information artifacts and,on the other hand,of(ii)Ontology,as a discipline proposing formal meth-ods and theories for clarifying these conceptualizations and articulating their representations.In particular,I discuss the fundamental role of formal ontological theories(in the latter sense)to properly ground the construction of representation languages,as well as methodological and computational tools for supporting the engineering of ontologies(in the former sense)in the context of FAIR. 展开更多
关键词 FAIR Semantic Interoperability ONTOLOGY ontologies
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