FAIR4Health: Findable, Accessible, Interoperable and Reusable data to foster Health Research
Year: 2022
Type: article
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. 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.
Source: Open Research Europe
Authors: Celia Alvarez-Romero, Alicia Martínez-García, A. Anil Sinaci, Mert Gencturk, Eva Méndez, Tony Hernández-Pérez, Rosa Liperoti, Carmen Angioletti, Matthias Löbe, Nagarajan Ganapathy, Thomas M. Deserno, Marta Almada, Elisio Costa, Catherine Chronaki, Giorgio Cangioli, Ronald Cornet, Beatriz Poblador-Plou, Jonás Carmona-Pírez, Antonio Gimeno-Miguel, Antonio Poncel-Falcó, Alexandra Prados-Torres, Tomi Kovacevic, Bojan Zaric, Darijo Bokan, Sanja Hromis, Jelena Djekic Malbasa, Carlos Rapallo Fernández, Teresa Velázquez Fernández, Jessica Rochat, Christophe Gaudet-Blavignac, Christian Lovis, Patrick Weber, Miriam Quintero, Manuel M. Perez-Perez, Kevin Ashley, Laurence Horton, Carlos Luis Parra Calderón
Institutions: Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Software Research and Development Consulting, Universidad Carlos III de Madrid, Università Cattolica del Sacro Cuore, Leipzig University, Medizinische Hochschule Hannover, Technische Universität Braunschweig, Universidade do Porto, Health Level Seven International, Amsterdam Public Health, Amsterdam University Medical Centers, University of Amsterdam, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón, Instituto Aragonés de Ciencias de la Salud, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Laboratoire de Psychologie, University of Geneva, University Hospital of Geneva, Atos (Spain), Digital Curation Centre, University of Edinburgh, University of Glasgow
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $841
OpenAlex ID: W4221069312