This document outlines the data quality validation processing for populating the CDM data model and defines measures that each domain follows during validation processing. Data quality validation covers several aspects including data content validation, data integrity and data profiling, with the goal of improving data content quality and integrity of the CDM data model. Research sites can use this guide locally to help improve their data prior to populating the CDM. Implementing this ahead of time causes fewer data check failures during the data curation process.
December 12, 2024