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.
CDM
PCORnet Common Data Model
The PCORnet Common Data Model, developed by the PCORnet community, standardizes millions of data points from the Network’s clinical information systems into a common format. As a result, users of PCORnet can ask the same question simultaneously to hundreds of disparate systems and receive a clear, reliable answer.
Non-technical PCORnet Common Data Model Introduction
This slide deck was created by Kellie Walters, MPH, UNC-Chapel Hill, part of the STAR Network, to introduce the PCORnet Common Data Model to patient stakeholders. The slides can be repurposed for any non-technical audience.