Harmonizing Microneurography Metadata with Local Data Hubs: A Concept.

Autor: Elwes MR; Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany., Namer B; Research Group Neuroscience, IZKF, Department of Neurophysiology, RWTH Aachen University, Aachen, Germany., Troglio A; Research Group Neuroscience, IZKF, Department of Neurophysiology, RWTH Aachen University, Aachen, Germany., Kirsten T; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Leipzig, Germany., Beyan O; Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany., Kutafina E; Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.
Jazyk: angličtina
Zdroj: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 358-359.
DOI: 10.3233/SHTI240420
Abstrakt: This work aims to improve FAIR-ness of the microneurography research by integrating the local (meta)data to existing research data infrastructures. In the previous work, we developed an odML based solution for local metadata storage of microneurography data. However, this solution is limited to a narrow community. As a next step, we propose the integration into the Local Data Hubs, data-sharing services within NFDI4Health infrastructure. We outline a first concept, that streams chosen data from the established odMLtables GUI.
Databáze: MEDLINE