This lecture, delivered by Prof. Ronald Cornet (Amsterdam UMC, University of Amsterdam), introduces the OMOP Common Data Model (OMOP CDM) and its role in enabling the standardisation, integration and large-scale analysis of observational health data. The session explains how OMOP CDM provides a harmonised data structure and standardised vocabularies that allow heterogeneous clinical and research datasets to be transformed into a common, interoperable format.
The lecture presents the core components of the OMOP CDM, including its schema, standard concepts and the Extract-Transform-Load (ETL) process required to map source data to the common model. Within the HemaFAIR context, it highlights how the adoption of OMOP supports FAIR data principles, facilitates cross-institutional studies and enables federated and reproducible observational research in rare diseases and haemoglobinopathies.
Learning objectives:
-Explain the purpose and key features of the OMOP Common Data Model
-Describe how OMOP CDM enables the standardisation and interoperability of observational health data
-Recognise the role of standard vocabularies and common data structures in integrated data analysis
-Understand the main steps of the ETL process for transforming source data into OMOP
-Identify how OMOP supports FAIR data, multicentre studies and federated research
-Appreciate its application in rare disease and haemoglobinopathy research within the HemaFAIR framework