FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network.

Autor: Touré V; Personalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland., Krauss P; Trivadis - Part of Accenture, 4051, Basel, Switzerland., Gnodtke K; Personalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland., Buchhorn J; Trivadis - Part of Accenture, 4051, Basel, Switzerland., Unni D; Personalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland., Horki P; Personalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland., Raisaro JL; Health Informatics and Data Privacy Group, Biomedical Data Science Center, 1010 Lausanne University Hospital, Lausanne, Switzerland., Kalt K; Clinical Data Platform Research, Directorate of Research and Education, Zurich University Hospital, 8091, Zurich, Switzerland., Teixeira D; DSI - Data Group, Geneva University Hospital, 1205, Geneva, Switzerland., Crameri K; Personalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland., Österle S; Personalized Health Informatics Group, SIB Swiss Institute of Bioinformatics, 4051, Basel, Switzerland. sabine.oesterle@sib.swiss.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2023 Mar 10; Vol. 10 (1), pp. 127. Date of Electronic Publication: 2023 Mar 10.
DOI: 10.1038/s41597-023-02028-y
Abstrakt: The Swiss Personalized Health Network (SPHN) is a government-funded initiative developing federated infrastructures for a responsible and efficient secondary use of health data for research purposes in compliance with the FAIR principles (Findable, Accessible, Interoperable and Reusable). We built a common standard infrastructure with a fit-for-purpose strategy to bring together health-related data and ease the work of both data providers to supply data in a standard manner and researchers by enhancing the quality of the collected data. As a result, the SPHN Resource Description Framework (RDF) schema was implemented together with a data ecosystem that encompasses data integration, validation tools, analysis helpers, training and documentation for representing health metadata and data in a consistent manner and reaching nationwide data interoperability goals. Data providers can now efficiently deliver several types of health data in a standardised and interoperable way while a high degree of flexibility is granted for the various demands of individual research projects. Researchers in Switzerland have access to FAIR health data for further use in RDF triplestores.
(© 2023. The Author(s).)
Databáze: MEDLINE
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