gms | German Medical Science

66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V. (TMF)

26. - 30.09.2021, online

How to Make Health Data “FAIR” – Requirements for Biomedical Research Data Infrastructures

Meeting Abstract

  • Martin Golebiewski - HITS - Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
  • Matthias Löbe - Universität Leipzig, Leipzig, Germany
  • Benjamin Löhnhardt - Universitätsmedizin Göttingen, Georg-August-Universität, Institut für Medizinische Informatik, Göttingen, Germany
  • Harald Kusch - Universitätsmedizin Göttingen, Georg-August-Universität, Institut für Medizinische Informatik, Göttingen, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 26.-30.09.2021. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 117

doi: 10.3205/21gmds004, urn:nbn:de:0183-21gmds0049

Published: September 24, 2021

© 2021 Golebiewski 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

This workshop will be organized by the GMDS project group "FAIR Data Infrastructures for Biomedical Informatic” (https://www.gmds.de/de/aktivitaeten/medizinische-informatik/projektgruppenseiten/faire-dateninfrastrukturen-fuer-die-biomedizinische-informatik/). The workshop brings together various German and European initiatives that develop and provide infrastructures or services for FAIR (Finadable, Accessible, Interoperable, and Reusable) data management (https://www.go-fair.org/fair-principles/) in the health sector [1]. The aim is to inform about their activities and to discuss possible interactions, joint strategies and synergies. An exchange of experiences is expected to discuss and plan joint activities, such as the coordination of service developments or implementation strategies, as well as common standards and guidelines. In interactive sessions the speakers and participants particularly also will discuss requirements for scientific data management infrastructures in the health sector, also in the context of and as cornerstones for the emerging German National Research Data Infrastructure (NFDI, https://www.nfdi.de).

The lineup of speakers is expected to include representatives of German infrastructure projects, such as the National Research Data Infrastructure for Personal Health Data (NFDI4Health, https://www.nfdi4health.de), the German Human Genome-Phenome Archive (GHGA, https://ghga.dkfz.de), or the Medical Informatics Initiative (https://www.medizininformatik-initiative.de), as well as European efforts, such as EOSC-Life (European Open Science Cloud for the Life Sciences, https://www.eosc-life.eu), the European Clinical Research Infrastructure Network (ECRIN, https://ecrin.org), FAIR4Health (https://www.fair4health.eu, FAIRDOM (https://fair-dom.org) or GO FAIR (https://www.go-fair.org). In addition, several organizations and initiatives will participate that deal with standardization of health data as a prerequisite to make them “FAIR”. This comprises standards developing organizations (SDOs) as HL7 (https://www.hl7.org/) with its FHIR standard, the Clinical Data Interchange Standards Consortium (CDISC, https://www.cdisc.org), or the International Organization for Standardization (ISO, https://www.iso.org).

Joint strategic approaches for FAIR health data management will be outlined as a basis for the further work of the GMDS project group, as well as for establishing a German National Research Data Infrastructure for health data. The target group of the workshop includes infrastructure providers who develop and operate FAIR data tools and platforms for biomedical research, representatives of the relevant scientific communities, as well as researchers and networks who use or wish to use FAIR data infrastructures and all others interested in the improvement and better dissemination of FAIR data management strategies and solutions.

Planned time frame: 4 hours

The authors declare that they have no competing interests.

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


References

1.
Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2016 Mar 15;3:160018. DOI: 10.1038/sdata.2016.18. Erratum in: Sci Data. 2019 Mar 19;6(1):6. External link