Publication date: May 21, 2026
Semantic interoperability in multi-source health datasets is a key barrier to data integration and reuse in biomedical research. FAIR principles promote standardization, but operationalizing them for heterogeneous clinical and patient-reported data remains challenging. We introduced a structured workflow that yields metadata-rich codebooks to support semantic interoperability. It integrates manual curation, expert-driven semantic annotation using biomedical ontologies and contextual suffixes for measurement nuances. The workflow was applied to the Post-COVID Network Netherlands (PCNN) dataset. In a representative PCNN subset, we harmonized variables across domains like demographics, COVID-19 history, and questionnaires. Mappings are designed for expert review to ensure accuracy and reproducibility.
Open Access PDF
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | COVID-19 |