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Semantic Harmonization Workflow of Health Data: Application in the Post-COVID Network Netherlands

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

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.
Original languageEnglish
Title of host publicationOpening the Personal Gate between Technology and Health Care - Proceedings of MIE 2026
EditorsMaria Hagglund, Lars Lindskold, Lenka Lhotska, Sara Marceglia, Enea Parimbelli, Lucia Sacchi, Paolo Soda, Lacramioara Stoicu-Tivadar, Pierangelo Veltri, Patrizia Vizza, Mauro Giacomini, Jaime Delgado, Theodoros N. Arvanitis, Elisavet Andrikopoulou, Arriel Benis, Gabriella Balestra, Riccardo Bellazzi, Parisis G. Gallos, Roberto Gatta, Daniele Roberto Giacobbe, Noemi Giordano
PublisherIOS Press
Pages2359-2363
Number of pages5
Volume336
ISBN (Electronic)9781643686615
DOIs
Publication statusPublished - 21 May 2026

Publication series

SeriesStudies in Health Technology and Informatics
Volume336

Keywords

  • FAIR principles
  • health data
  • ontology mapping
  • Post-COVID
  • semantic interoperability

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