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

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作者
Vasundra Touré
Philip Krauss
Kristin Gnodtke
Jascha Buchhorn
Deepak Unni
Petar Horki
Jean Louis Raisaro
Katie Kalt
Daniel Teixeira
Katrin Crameri
Sabine Österle
机构
[1] SIB Swiss Institute of Bioinformatics,Personalized Health Informatics Group
[2] Trivadis — Part of Accenture,Health Informatics and Data Privacy Group, Biomedical Data Science Center
[3] 1010 Lausanne University Hospital,Clinical Data Platform Research, Directorate of Research and Education
[4] Zurich University Hospital,DSI
[5] Geneva University Hospital, Data Group
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摘要
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.
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