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Current Use of Common Data Models in the Nordic Countries
Gerard Ompad1,2, Carolyn E Cesta3, Jacqueline M Cohen4
1Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Pharmacoepidemiology and Drug Safety
|October 24, 2025
Summary
Common data models (CDMs) are used across Nordic countries, with OMOP being popular globally and regional models serving local needs. Further development is needed to improve adaptability and interoperability for research.
Area of Science:
- Healthcare data standardization
- Pharmacoepidemiology
- Vaccine safety research
Background:
- Common Data Models (CDMs) standardize healthcare data for reproducible analyses.
- CDMs are crucial for decision-making in medicine, vaccine safety, and pharmacoepidemiology.
- Implementation of CDMs in Nordic countries and cross-national collaborations is underexplored.
Purpose of the Study:
- To assess the adoption, application, benefits, and limitations of CDMs in Nordic countries.
- To understand the current landscape of CDM usage within the Nordic region.
- To identify challenges and opportunities for CDM implementation in Nordic research.
Main Methods:
- A survey was distributed to research groups in the Nordic PharmacoEpidemiological Network (NorPEN).
- Data collected included CDM usage, collaborations, and perceived advantages/limitations.
- Descriptive analyses were performed on aggregated, confidential data.
Main Results:
- 88% of surveyed groups responded, with 59% using one or more CDMs.
- OMOP was the most used CDM, particularly in academic settings.
- Regional CDMs (Nordic CDM, NorPreSS) were effective for specific research, but adaptability for pregnancy data was limited.
Conclusions:
- Significant variability exists in CDM adoption across Nordic countries.
- OMOP facilitates global collaboration, while regional models meet local needs.
- Enhancing CDM adaptability and interoperability is crucial for Nordic and international research.
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