The Data Quality Collaborative (DQC) is a group of leading experts working to ensure that electronic health data used for CER and PCOR is credible and high quality. The DQC has developed several papers and a research agenda to assess and report on electronic health record (EHR) data quality. The major aim of the collaboration is to develop a comprehensive data quality assessment framework and guidelines for the CER and PCOR community, including draft recommendations that can guide the development of new analytic and reporting methods specifically directed to data quality assessment and reporting.

On an ongoing basis, the group posts current opportunities for participation as well as published documents, and works in progress.

Questions? Please email


Data Quality Collaborative Code-A-Thon
Refer to "Submissions from 2015" below to access resources for the Data Quality Collaborative Code-A-Thon. To learn more about this invitation-only event, visit


Kahn, Michael G.; Brown, Jeffrey S.; Chun, Alein T.; Davidson, Bruce N.; Meeker, Daniella; Ryan, Patrick B.; Schilling, Lisa M.; Weiskopf, Nicole G.; Williams, Andrew E.; and Zozus, Meredith Nahm (2015) "Transparent Reporting of Data Quality in Distributed Data Networks," eGEMs (Generating Evidence & Methods to improve patient outcomes): Vol. 3: Iss. 1, Article 7.

Mackay, Erin A. (2015) "Patients, Consumers, and Caregivers: The Original Data Stewards,"eGEMs (Generating Evidence & Methods to improve patient outcomes): Vol. 3: Iss. 1, Article 8.

Work in Progress

A Harmonized Data Quality Assessment Framework
This work is currently under revision and is being submitted for publication. Please check back for more details soon.

Survey: Exploring Potential Barriers to Data Quality Assessment
Thanks to all who participated in this survey. Analyses are currently underway.

Data Quality Common Data Model
The model is currently under revision based on comments received. Please check back for more information about its finalization in the coming months.

Funding Acknowledgement
The first phase of this work was funded by the EDM Forum with support from the Agency for Healthcare Quality and Research (AHRQ (#U13 HS19564-010). Current support for the DQC is provided by the Patient-Centered Outcomes Research Institute (PCORI) (ME-1303-5581).


Submissions from 2015


DQ Codeathon Travel Reimbursement Form, AcademyHealth


CHCO_dq.sql, Data Quality Collaborative


Data Quality CDM Tutorial Transcript, Data Quality Collaborative


Data Quality Codeathon Travel and Booking Information, Data Quality Collaborative


DQC Code-A-Thon Orientation Session, Data Quality Collaborative


DQ CDM Dataset, Data Quality Collaborative


DQ CDM Tutorial, Data Quality Collaborative


DQ Code-A-Thon 2015 Orientation Packet, Data Quality Collaborative


MS_DQ.sql, Data Quality Collaborative


PCORNET_DQ.sql, Data Quality Collaborative


PHIS_DQ.sql, Data Quality Collaborative


SQL File Instructions, Data Quality Collaborative


SYNPUF_DQ.sql, Data Quality Collaborative