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

FAIR Data Infrastructures for Biomedical Communities

Meeting Abstract

  • Martin Golebiewski - HITS gGmbH, Heidelberg, Germany
  • Benjamin Löhnhardt - Universitätsmedizin Göttingen, Göttingen, Germany
  • Harald Kusch - Universitätsmedizin Göttingen, Georg-August-Universität, Institut für Medizinische Informatik, Göttingen, Germany
  • Matthias Löbe - 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. 1025

doi: 10.3205/24gmds251, urn:nbn:de:0183-24gmds2511

Veröffentlicht: 6. September 2024

© 2024 Golebiewski et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

This workshop is organised by the GMDS working group “FAIRe Dateninfrastrukturen für die Biomedizinische Informatik”. The aim of the working group is to bundle activities within GMDS and beyond all across Germany that deal with infrastructure support for FAIR (Finadable, Accessible, Interoperable, Reusable) data management. To this end, an exchange of experiences and expertises is intended to discuss and establish joint concepts in the field of biomedical informatics and the underlying data and to develop implementation strategies. This workshop aims to present several solutions and examples for scientific data management for the use of health data that are based on the FAIR principles.

The workshop will start with an overview presentation about the FAIR guiding principles for scientific data management and stewardship and their implementation in the life sciences, which will be followed by presentations introducing tools for the “FAIRification” and sharing of data, and especially for structuring metadata in the biomedical research area. Based on these examples, the participants of the workshop will discuss the requirements for domain-specific data management infrastructures and their underlying prerequisites such as data standards and standardisation strategies.

The target group of the workshop includes infrastructure providers who develop and operate FAIR tools and platforms for biomedical research, as well as researchers from communities that use or wish to use FAIR data infrastructures, as well as all other interested parties interested in the improvement and better dissemination of FAIR data management strategies.

The audience will be actively addressed by 3 questions prepared by each speaker to be answered collaboratively and discussed afterwards

The authors declare that they have no competing interests.

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