Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-11-18 Cooperative journals: 《数据智能（英文）》
van Reisen, Mirjam
Stokmans, Mia
Basajja, Mariam
Ong'ayo, Antony Otieno
Kirkpatrick, Christine
Mons, Barend
Abstract：
This article explores the global implementation of the FAIR Guiding Principles for scientific management and data stewardship, which provide that data should be findable, accessible, interoperable and reusable. The implementation of these principles is designed to lead to the stewardship of data as FAIR digital objects and the establishment of the Internet of FAIR Data and Services (IFDS). If implementation reaches a tipping point, IFDS has the potential to revolutionize how data is managed by making machine and human readable data discoverable for reuse. Accordingly, this article examines the expansion of the implementation of FAIR Guiding Principles, especially how and in which geographies (locations) and areas (topic domains) implementation is taking place. A literature review of academic articles published between 2016 and 2019 on the use of FAIR Guiding Principles is presented. The investigation also includes an analysis of the domains
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-11-18 Cooperative journals: 《数据智能（英文）》
van Reisen, Mirjam
Stokmans, Mia
Mawere, Munyaradzi
Basajja, Mariam
Ong'ayo, Antony Otieno
Nakazibwe, Primrose
Kirkpatrick, Christine
Chindoza, Kudakwashe
Abstract：
This article investigates expansion of the Internet of FAIR Data and Services (IFDS) to Africa, through the three GO FAIR pillars: GO CHANGE, GO BUILD and GO TRAIN. Introduction of the IFDS in Africa has a focus on digital health. Two examples of introducing FAIR are compared: a regional initiative for digital health by governments in the East Africa Community (EAC) and an initiative by a local health provider (Solidarmed) in collaboration with Great Zimbabwe University in Zimbabwe. The obstacles to introducing FAIR are identified as underrepresentation of data from Africa in IFDS at this moment, the lack of explicit recognition of situational context of research in FAIR at present and the lack of acceptability of FAIR as a foreign and European invention which affects acceptance. It is envisaged that FAIR has an important contribution to solve fragmentation in digital health in Africa, and that any obstacles concerning African participation, context relevance and acceptance of IFDS need to be removed. This will require involvement of African researchers and ICT-developers so that it is driven by local ownership. Assessment of ecological validity in FAIR principles would ensure that the context specificity of research is reflected in the FAIR principles. This will help enhance the acceptance of the FAIR Guidelines in Africa and will help strengthen digital health research and services.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-11-16 Cooperative journals: 《数据智能（英文）》
Jacobsen, Annika
Azevedo, Ricardo De Miranda
Juty, Nick
Batista, Dominique
Coles, Simon
Cornet, Ronald
Courtot, Melanie
Crosas, Merce
Dumontier, Michel
Evelo, Chris T.
Goble, Carole
Guizzardi, Giancarlo
Hansen, Karsten Kryger
Hasnain, Ali
Hettne, Kristina
Heringa, Jaap
Hooft, Rob W. W.
Imming, Melanie
Jeffery, Keith G.
Kaliyaperumal, Rajaram
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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