The Data Quality Collaborative (DQC) is a working group of leading experts from teams using electronic clinical data to address the need to ensure that CER and PCOR findings derived from diverse and distributed data sources are based on credible, high-quality data; and that the methods used to assess and report data quality are consistent, comprehensive, and available to data consumers. The major aim of the collaboration is to develop a comprehensive data quality assessment framework and guidelines for the CER community, including draft recommendations that can guide the development of new analytic and reporting methods specifically directed to data quality assessment and reporting for CER studies.

Draft Documents

DQC White Paper Draft 1: A consensus-based data quality reporting framework for observational healthcare data

DQC Dimensions Table Draft 1: An inventory of potential clinical data quality dimensions

Request for Input

The DQC is requesting feedback from the community on the draft white paper and draft dimensions table.

Comments are requested on:
  • clarity of the content;
  • suggestions for topics, issues, or other items that should be addressed;
  • strengths and weaknesses of the arguments presented; and,
  • general reactions to the paper.
Input may be provided by submitting a revised document or by posting a comment below. For more information or to learn how you can get involved in the DQC, please contact edmforum@academyhealth.org.

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Submissions from 2013

PDF

DQC Dimensions Table Draft 1: An inventory of potential clinical data quality dimensions

PDF

DQC White Paper Draft 1: A consensus-based data quality reporting framework for observational healthcare data