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Harmonizing Microneurography Metadata with Local Data Hubs: A Concept

Studies in health technology and informatics, vol. 316, pp. 358–359

Abstract

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.

Authors 6

  1. Mayra Roxana Elwes corresponding

    University of Cologne · University Hospital Cologne

    Affiliation as printed

    Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany

  2. RWTH Aachen University

    Affiliation as printed

    Research Group Neuroscience, IZKF, Department of Neurophysiology, RWTH Aachen University, Aachen, Germany

  3. RWTH Aachen University

    Affiliation as printed

    Research Group Neuroscience, IZKF, Department of Neurophysiology, RWTH Aachen University, Aachen, Germany

  4. Leipzig University

    Affiliation as printed

    Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Leipzig, Germany

  5. University of Cologne · University Hospital Cologne

    Affiliation as printed

    Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany

  6. University of Cologne · University Hospital Cologne

    Affiliation as printed

    Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany

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