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3 DEFINITIONS OF SPECIALIZED TERMS AND ABBREVIATIONS  5 BACKGROUND  7 PARTICIPATION OF PATIENTS AND OTHER STAKEHOLDERS  9 METHODS  12 Study Design  12 Study Cohort  13 Study Setting  15 Data Collection  15 Analytical and Statistical Approaches Collection  26 Conduct of the Study  27 RESULTS  28 Finding 1.1: A Harmonized Terminology for Data Quality Assessment Categories (Aim 1) 29 Finding 1.2: Guidelines for Transparent Reporting of Data Quality (Aim 1)  29 Finding 2.1: Patient Engagement in Data Quality Assessment (Aims 1 and 4)  32 Finding 2.2: Individual and Organizational Barriers to Data Quality Assessment (Aim 4)  33 Finding 3.1: Distribution of Data Quality Assessment Checks Across 6 Large Data Networks (Aims 1 and 4)  39 Finding 3.2: A Common Data Model (DQA-CDM) for Storing Data Quality Results (Aim 2)  43 Finding 3.3: Visualizing Data Quality Results (Aims 2 and 3)  46 DISCUSSION 50 CONCLUSION  54 REFERENCES  55 PUBLICATIONS 60

Building PCOR Value and Integrity with Data Quality and Transparency Standards