On April 20, Boris Delange (MD, Medical Informatics, Université de Rennes) presented the INDICATE Data Dictionary at the OHDSI Europe Symposium 2026, the yearly meeting of the European OHDSI community, gathering researchers, clinicians and data scientists working on federated health data using the OMOP common data model.

Through a live demo, Boris showed how the Data Dictionary supports multidisciplinary teams working with medical concepts in OMOP — by providing peer-reviewed, versioned concept sets enriched with clinical context and ETL guidance.

Why does this matter? Before any federated analysis can run across hospitals, each site must map its local data to the same shared vocabulary. This “concept mapping” step is essential but notoriously time-consuming, and small inconsistencies between sites can silently bias results. By offering a curated, transparent library of ICU concept sets – with review workflows, semantic versioning, and expert comments – the INDICATE Data Dictionary makes this step faster, more reliable, and easier to share across institutions.

The session also sparked valuable discussions on integration within the OHDSI ecosystem and on extending the approach beyond ICU.

The Data Dictionary is open source and runs entirely in the browser: no server, no login, no install. Anyone can browse the 300+ ICU concept sets, propose reviews on GitHub, or deploy their own instance in minutes.

Explore the INDICATE Data Dictionary via GitHub.