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.
Plan
Scholars Program Processes and Procedures
The PaTH Scholars Program was established to help researchers gain the skills and confidence needed to lead and participate in multi-site “real-world evidence” studies by mentoring and engaging scholars through hands-on participation alongside experienced PaTH researchers. This resource may be adapted by others wanting to create similar programs.
Rapid and Collaborative Response to COVID-19
Researchers responded rapidly and collaboratively to answer COVID-19 questions by using PCORnet resources including a flexible coordinating center, the PCORnet® Common Data Model, research-ready networks, and existing research studies that pivoted quickly. Researchers can use this resource to demonstrate how the resources of PCORnet can be used for studies that require fast answers.
Evaluation Plan of a Research Study
This Evaluation Plan from the “PCORnet Obesity Observational Research Initiative,” was used to evaluate the different components of the research study. Use it as an example of how to evaluate your own research studies.
Prepared by: John Holmes, PhD, Brie Purcell, MPH, and Beth Syat, MPH