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

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, ba...

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Autores principales: Bönisch, Caroline, Kesztyüs, Dorothea, Kesztyüs, Tibor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616884/
https://www.ncbi.nlm.nih.gov/pubmed/36307424
http://dx.doi.org/10.1038/s41597-022-01792-7
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author Bönisch, Caroline
Kesztyüs, Dorothea
Kesztyüs, Tibor
author_facet Bönisch, Caroline
Kesztyüs, Dorothea
Kesztyüs, Tibor
author_sort Bönisch, Caroline
collection PubMed
description 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.
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spelling pubmed-96168842022-10-30 Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata Bönisch, Caroline Kesztyüs, Dorothea Kesztyüs, Tibor Sci Data Article 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. Nature Publishing Group UK 2022-10-28 /pmc/articles/PMC9616884/ /pubmed/36307424 http://dx.doi.org/10.1038/s41597-022-01792-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bönisch, Caroline
Kesztyüs, Dorothea
Kesztyüs, Tibor
Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
title Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
title_full Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
title_fullStr Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
title_full_unstemmed Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
title_short Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
title_sort harvesting metadata in clinical care: a crosswalk between fhir, omop, cdisc and openehr metadata
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616884/
https://www.ncbi.nlm.nih.gov/pubmed/36307424
http://dx.doi.org/10.1038/s41597-022-01792-7
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