Login / Signup

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

Vasundra TouréPhilip KraussKristin GnodtkeJascha BuchhornDeepak UnniPetar HorkiJean Louis RaisaroKatie KaltDaniel TeixeiraKatrin CrameriSabine Österle
Published in: Scientific data (2023)
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.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • public health
  • mental health
  • climate change
  • health information
  • risk assessment
  • data analysis
  • deep learning