What does this research mean for the field?

FAIR health data management enhances the usability and interoperability of health data in research settings. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The central aim is to explore FAIR principles in health data management and their implementation in projects.

February 20, 2026Open Access

FAIR health data management at the Medical Informatics Laboratory

Key Points

The central aim is to explore FAIR principles in health data management and their implementation in projects.
Presented projects focusing on the FAIR principles
Discussed the Medical Informatics Initiative
Highlighted examples of FAIRification efforts
Emphasized the role of semantically enriched metadata
Showed improved data accessibility and interoperability
Demonstrated increased usability of health data through FAIR principles

Abstract

This lecture gives a short input talk about Findable, Accessible, Interoperable, Reusable (FAIR) health data management. Here we present projects and examples, including FAIRification efforts in the Medical Informatics Initiative and the importance of semantically enriched metadata.

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