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

ABSTRACT:

Objective

To semantically enrich the laboratory data dictionary of the Study of Health in Pomerania (SHIP), a population-based cohort study, with LOINC to achieve better compliance with the FAIR principles for data stewardship.

Materials and methods

We employed a workflow that maps codes from the SHIP-START-4 laboratory data dictionary to LOINC codes following the terminology mapping principles and best practices recommended by the World Health Organization Family of International Classifications (WHO-FIC) Network.

Results

We were able to annotate 71 out of 72 (98.6%) of the source codes in the SHIP-START-4 laboratory data dictionary with LOINC codes. 32 source codes were mapped to a single LOINC code (cardinality 1:1) and 39 resulted in a complex mapping. All of the

SUBMITTER: Inau ET 

PROVIDER: S-EPMC11884810 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature