To address missed gaps in data quality, the purpose of this study is to create actionable guidelines for testing and reporting data quality, building on current practice and expanding it to address fitness for use and alignment with clinical meaning.
Aim 1: Define specific guidelines for testing that allow users to
assess the fitness of data for a given use, and design analytic components to address data quality issues
Aim 2: Develop freely available assessment and reporting tools for these guidelines to enhance dissemination to study teams
and network developers
Aim 3: Test the standards and tools generating evaluative
feedback and a repository of results for future benchmarking
