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

Détails

Ressource 1Télécharger: 36899064_BIB_6FDF148812F2.pdf (1292.48 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_6FDF148812F2
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network.
Périodique
Scientific data
Auteur⸱e⸱s
Touré V., Krauss P., Gnodtke K., Buchhorn J., Unni D., Horki P., Raisaro J.L., Kalt K., Teixeira D., Crameri K., Österle S.
ISSN
2052-4463 (Electronic)
ISSN-L
2052-4463
Statut éditorial
Publié
Date de publication
10/03/2023
Peer-reviewed
Oui
Volume
10
Numéro
1
Pages
127
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
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.
Mots-clé
Metadata, Semantic Web, Switzerland, Health Services Research, Data Collection
Pubmed
Web of science
Open Access
Oui
Création de la notice
20/03/2023 11:08
Dernière modification de la notice
05/09/2024 9:00
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