Advancing population-based cancer registries through the OHDSI OMOP Common Data Model: governance, validation, and interoperability for cancer research

Population-based cancer registries (PBCRs) are essential for cancer surveillance and research but are limited in their analytical interoperability with other data sources because of heterogeneity in cancer-related definitions and database structure. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) can be used to improve interoperability between PBCRs and other health data. In this perspective, we provide a conceptual framework of how governance contributes to consistent mapping, validation, and sustainable use of OMOP CDM for PBCRs. We also demonstrate a newly developed R/Shiny validation tool that supports transparency and trust in the converted registry data. When OMOP CDMs are implemented with structured governance, it can support scalable, reproducible, multisite research and contribute to the readiness for the upcoming European Health Data Space regulation. Likewise, PBCRs advance cancer research and surveillance and contribute to the creation of a trusted, interoperable health data ecosystem that supports research and policy-making.