FAIR4Health: Findable, Accessible, Interoperable and Reusable data to foster Health Research
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Published:2022-03-09
Issue:
Volume:2
Page:34
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ISSN:2732-5121
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Container-title:Open Research Europe
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language:en
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Short-container-title:Open Res Europe
Author:
Alvarez-Romero CeliaORCID, Martínez-García Alicia, Sinaci A. AnilORCID, Gencturk MertORCID, Méndez EvaORCID, Hernández-Pérez TonyORCID, Liperoti Rosa, Angioletti CarmenORCID, Löbe MatthiasORCID, Ganapathy NagarajanORCID, Deserno Thomas M., Almada MartaORCID, Costa ElisioORCID, Chronaki CatherineORCID, Cangioli Giorgio, Cornet RonaldORCID, Poblador-Plou BeatrizORCID, Carmona-Pírez JonásORCID, Gimeno-Miguel Antonio, Poncel-Falcó Antonio, Prados-Torres Alexandra, Kovacevic Tomi, Zaric BojanORCID, Bokan Darijo, Hromis Sanja, Djekic Malbasa Jelena, Rapallo Fernández Carlos, Velázquez Fernández Teresa, Rochat Jessica, Gaudet-Blavignac ChristopheORCID, Lovis ChristianORCID, Weber Patrick, Quintero Miriam, Perez-Perez Manuel M., Ashley KevinORCID, Horton LaurenceORCID, Parra Calderón Carlos LuisORCID
Abstract
Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the publicly funded health research initiatives to make them Findable, Accessible, Interoperable, and Reusable (FAIR). To confirm the feasibility of the FAIR4Health solution, we performed two pathfinder case studies to carry out federated machine learning algorithms on FAIRified datasets from five health research organizations. The case studies demonstrated the potential impact of the developed FAIR4Health solution on health outcomes and social care research. Finally, we promoted the FAIRified data to share and reuse in the European Union Health Research community, defining an effective EU-wide strategy for the use of FAIR principles in health research and preparing the ground for a roadmap for health research institutions to offer access to certified FAIR datasets. This scientific report presents a general overview of the FAIR4Health solution: from the FAIRification workflow design to translate raw data/metadata to FAIR data/metadata in the health research domain to the FAIR4Health demonstrators’ performance.
Funder
Horizon 2020 Framework Programme Carlos III National Institute of Health Platform for Dynamization and Innovation of the Spanish National Health System industrial capacities and their effective transfer to the productive sector European Regional Development Fund (FEDER) ‘A way of making Europe’
Publisher
F1000 Research Ltd
Subject
Ocean Engineering,Safety, Risk, Reliability and Quality
Reference10 articles.
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