Sharing meaningful data is an important challenge in the field of personalized medicine. Besides legal and ethical aspects, there are technical challenges to be met in order to be able to handle massive amounts of multimodal and heterogeneous distributed data, and semantic challenges in order to build an interoperable framework.
The H2020 FAIR4Health project aims at facilitating and encouraging the European Union Health Research community to FAIRify, i.e. make data findable, accessible, interoperable and re-usable, share and reuse datasets derived from publicly funded research initiatives. A user-centered FAIR4Health platform and FAIR4Health agents are being developed to enable the translation from raw (meta) data to FAIR (meta) data. To validate the FAIR4Health platform and demonstrate the feasibility of FAIRifying medical research data, two pathfinder case studies prototypes will be performed on real medical data. The FAIR4Health consortium consists of 17 partners from both public and private entities.