Semantic enrichment of Pomeranian health study data using LOINC and WHO-FIC terminology mapping principles

Semantically enriching the SHIP-START-4 laboratory data dictionary has contributed to its improved data interoperability and reuse. We recommend that data owners and standardization experts collaboratively perform annotations before data collection starts instead of doing this retrospectively. These experiences may inform the development of standard operating procedures for annotating data dictionaries developed for other population-based cohort studies.

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Publication Details

Journal
JAMIA Open
Published
2025-03-06
DOI
https://doi.org/10.1093/jamiaopen/ooaf010
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.81
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article

Semantic enrichment of Pomeranian health study data using LOINC and WHO-FIC terminology mapping principles

Esther Thea Inau, Carsten Oliver Schmidt, Susanne Westphal, Matthias Nauck et al.
1 citations
JAMIA Open
Biomedical Text Mining and Ontologies
0.81
article

Semantic enrichment of Pomeranian health study data using LOINC and WHO-FIC terminology mapping principles

Esther Thea Inau, Carsten Oliver Schmidt, Susanne Westphal, Matthias Nauck, Atinkut Alamirrew Zeleke, Christian Schäfer, Linda Bird, Dörte Radke, Till Ittermann, Dagmar Waltemath
article en
1 citations

Abstract

Semantically enriching the SHIP-START-4 laboratory data dictionary has contributed to its improved data interoperability and reuse. We recommend that data owners and standardization experts collaboratively perform annotations before data collection starts instead of doing this retrospectively. These experiences may inform the development of standard operating procedures for annotating data dictionaries developed for other population-based cohort studies.

JAMIA OpenVol. 8(2)
University of Victoria (CA), Universitätsmedizin Greifswald (DE), German Centre for Cardiovascular Research (DE)
Openalex Percentile: Top 30%
Biomedical Text Mining and Ontologies
0.81
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