Data quality is a critical aspect of any research, and the OMOP CDM includes several mechanisms to ensure high-quality data. These mechanisms include:
Standardized Vocabulary: The use of a standardized vocabulary ensures that terms and codes are consistently applied across different datasets. Data Transformation Tools: Tools like Extract, Transform, Load (ETL) processes are used to convert raw data into the OMOP CDM format, ensuring consistency and accuracy. Data Quality Dashboards: These dashboards provide real-time insights into data quality, highlighting any discrepancies or anomalies that need to be addressed.
