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Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review

  • Data stewardship is an essential driver of research and clinical practice. Data collection, storage, access, sharing, and analytics are dependent on the proper and consistent use of data management principles among the investigators. Since 2016, the FAIR (findable, accessible, interoperable, and reusable) guiding principles for research data management have been resonating in scientific communities. Enabling data to be findable, accessible, interoperable, and reusable is currently believed to strengthen data sharing, reduce duplicated efforts, and move toward harmonization of data from heterogeneous unconnected data silos. FAIR initiatives and implementation trends are rising in different facets of scientific domains. It is important to understand the concepts and implementation practices of the FAIR data principles as applied to human health data by studying the flourishing initiatives and implementation lessons relevant to improved health research, particularly for data sharing during the coronavirus pandemic.

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Metadaten
Author: Esthe Thea Inau, Jean Sack, Dagmar Waltemath, Atinkut Alamirrew Zeleke
URN:urn:nbn:de:gbv:9-opus-62247
DOI:https://doi.org/doi:10.2196/22505
ISSN:1929-0748
Parent Title (English):JMIR Res Protoc
Publisher:JMIR Publications
Place of publication:Toronto, Canada
Document Type:Article
Language:English
Year of first Publication:2021
Release Date:2022/05/24
Tag:FAIR data principles; PRISMA; data stewardship; health research; scoping review
Volume:10
Issue:2
Article Number:e22505
Page Number:8
Faculties:Universitätsmedizin / Institut für Biometrie und Medizinische Informatik
Collections:Artikel aus DFG-gefördertem Publikationsfonds
Licence (German):License LogoCreative Commons - Namensnennung