Common Data Models (CDM) are developed to solve integration problems that arise in the secondary use of health data. The OMOP CDM is such a model that is mainly used for healthcare data, so this paper examines whether it is also suitable for mapping research data. An exemplary research dataset is mapped to the model and the model is tested for suitability. For this purpose, an ETL process is first designed with the OHDSI tools and finally implemented with Talend Open Studio for Data Integration. The data quality is checked, and the mapping and the model, together with the tools, are evaluated. Overall, all but three data fields from the source dataset could be mapped to the OMOP model, so that the model’s suitability for research data can be confirmed.