The MeDaX Knowledge Graph Prototype.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
18 May 2023
Historique:
medline: 22 5 2023
pubmed: 19 5 2023
entrez: 19 5 2023
Statut: ppublish

Résumé

Data sharing is sustainable for several reasons, including minimising economical and human costs or maximising knowledge gain. Still, reuse of biomedical (research) data is often hampered by the diverse technical, juridical, and scientific requirements for biomedical data handling and specifically sharing. We are building a toolbox for automated generation of knowledge graphs (KGs) from diverse sources, for data enrichment, and for data analysis. Into the MeDaX KG prototype, we integrated data from the core data set of the German Medical Informatics Initiative (MII) with ontological and provenance information. This prototype is currently used for internal concept and method testing only. In subsequent versions it will be expanded by including more meta-data and relevant data sources as well as further tools, including a user interface.

Identifiants

pubmed: 37203634
pii: SHTI230089
doi: 10.3233/SHTI230089
doi:

Types de publication

Journal Article

Langues

eng

Pagination

147-148

Auteurs

Judith A H Wodke (JAH)

Department of Medical Informatics, University Medicine Greifswald, Germany.

Lea Michaelis (L)

Core Unit Data Integration Center, University Medicine Greifswald, Germany.

Ron Henkel (R)

Department of Medical Informatics, University Medicine Greifswald, Germany.

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Classifications MeSH