gms | German Medical Science

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH)

08.09. - 13.09.2024, Dresden

NFDI4Health Local Data Hubs Implementing a Tailored Metadata Schema for Health Data

Meeting Abstract

  • Xiaoming Hu - Heidelberger Institut für Theoretische Studien gGmbH, Heidelberg, Germany
  • Haitham Abaza - Heidelberger Institut für Theoretische Studien gGmbH, Heidelberg, Germany
  • René Hänsel - IMISE, Universität Leipzig, Leipzig, Germany
  • Masoud Abedi - IMISE, Universität Leipzig, Leipzig, Germany
  • Martin Golebiewski - Heidelberger Institut für Theoretische Studien gGmbH, Heidelberg, Germany
  • Wolfgang Müller - Heidelberger Institut für Theoretische Studien gGmbH, Heidelberg, Germany
  • Frank A. Meineke - IMISE, Universität Leipzig, Leipzig, Germany

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH). Dresden, 08.-13.09.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAbstr. 613

doi: 10.3205/24gmds127, urn:nbn:de:0183-24gmds1271

Published: September 6, 2024

© 2024 Hu et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Introduction: NFDI4Health is a consortium funded by the German Research Foundation to make structured health data findable and accessible internationally according to the FAIR principles. Its goal is bringing data users and Data Holding Organizations (DHOs) together. It mainly considers DHOs conducting epidemiological and public health studies or clinical trials.

Methods: Local data hubs (LDH) are provided for such DHOs to connect decentralized local research data management within their organizations with the option of publishing shareable metadata via centralized NFDI4Health services such as the German central Health Study Hub. The LDH platform is based on FAIRDOM SEEK and provides a complete and flexible, locally controlled data and information management platform for health research data. A tailored NFDI4Health metadata schema for studies and their corresponding resources has been developed which is fully supported by the LDH software, e.g. for metadata transfer to other NFDI4Health services.

Results: The SEEK platform has been technically enhanced to support extended metadata structures tailored to the needs of the user communities in addition to the existing metadata structuring of SEEK.

Conclusion: With the LDH and the MDS, the NFDI4Health provides all DHOs with a standardized and free and open source research data management platform for the FAIR exchange of structured health data.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


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