Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
28 10 2022
Historique:
received: 17 06 2022
accepted: 20 10 2022
entrez: 28 10 2022
pubmed: 29 10 2022
medline: 2 11 2022
Statut: epublish

Résumé

Metadata describe information about data source, type of creation, structure, status and semantics and are prerequisite for preservation and reuse of medical data. To overcome the hurdle of disparate data sources and repositories with heterogeneous data formats a metadata crosswalk was initiated, based on existing standards. FAIR Principles were included, as well as data format specifications. The metadata crosswalk is the foundation of data provision between a Medical Data Integration Center (MeDIC) and researchers, providing a selection of metadata information for research design and requests. Based on the crosswalk, metadata items were prioritized and categorized to demonstrate that not one single predefined standard meets all requirements of a MeDIC and only a maximum data set of metadata is suitable for use. The development of a convergence format including the maximum data set is the anticipated solution for an automated transformation of metadata in a MeDIC.

Identifiants

pubmed: 36307424
doi: 10.1038/s41597-022-01792-7
pii: 10.1038/s41597-022-01792-7
pmc: PMC9616884
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

659

Informations de copyright

© 2022. The Author(s).

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Auteurs

Caroline Bönisch (C)

Medical Data Integration Center, Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany. caroline.boenisch@med.uni-goettingen.de.

Dorothea Kesztyüs (D)

Medical Data Integration Center, Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany.

Tibor Kesztyüs (T)

Medical Data Integration Center, Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany.

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Classifications MeSH