Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-11-18 Cooperative journals: 《数据智能（英文）》
van Vlijmen, Herman
Mons, Albert
Waalkens, Arne
Franke, Wouter
Baak, Arie
Ruiter, Gerbrand
Kirkpatrick, Christine
Santos, Luiz Olavo Bonino da Silva
Meerman, Bert
Jellema, Renger
Arts, Derk
Kersloot, Martijn
Knijnenburg, Sebastiaan
Lusher, Scott
Verbeeck, Rudi
Neefs, Jean-Marc
Abstract：
The industry sector is a very large producer and consumer of data, and many companies traditionally focused on production or manufacturing are now relying on the analysis of large amounts of data to develop new products and services. As many of the data sources needed are distributed and outside the company, FAIR data will have a major impact, both by reducing the existing internal data silos and by enabling the efficient integration with external (public and commercial) data. Many companies are still in the early phases of internal data ”FAIRification”, providing opportunities for SMEs and academics to apply and develop their expertise on FAIR data in collaborations and public-private partnerships. For a global Internet of FAIR Data & Services to thrive, also involving industry, professional tools and services are essential. FAIR metrics and certifications on individuals, data, organizations, and software, must ensure that data producers and consumers have independent quality metrics on their data. In this opinion article we reflect on some industry specific challenges of FAIR implementation to be dealt with when choices are made regarding ”Industry GOing FAIR”.
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.
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