Data Quality Review Toolkit

The Data Quality Review (DQR) toolkit proposes a unified approach to data quality and includes guidelines and tools that lay the basis for a common understanding of data quality.

The Data Quality Review (DQR) toolkit proposes an integrated approach to data quality. It unifies and builds upon previous tools and methods designed to assess data quality at facility level, taking into account best practices and lessons learned from many countries. The toolkit is the result of collaboration between the World Health Organization (WHO); The Global Fund to Fight AIDS, Tuberculosis and Malaria (The Global Fund); Gavi, the Vaccine Alliance; and the USAID-funded MEASURE Evaluation project.

The DQR toolkit includes guidelines and tools that lay the basis for a standardized and holistic approach to data quality that promotes institutionalization of routine data quality assessment in countries. The toolkit contains three modules, each with specific methods and tools:


Module 1: Framework and metrics	Module 2: Desk review of data quality (Including an Excel-based tool)	Module 3: Data verification and system assessment

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Filed under: Data , Data Quality , Data Quality Review

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TB DIAH will run until September 2023, PMI Measure Malaria until June 2024, and D4I until September 2023.

MEASURE Evaluation is funded by USAID to strengthen capacity in developing countries to gather, interpret, and use data to improve health. We create tools and approaches for rigorous evaluations, providing evidence to address health challenges. And we strengthen health information systems so countries can make better decisions and sustain good health outcomes over time.

MEASURE Evaluation
Carolina Population Center
University of North Carolina at Chapel Hill
123 W Franklin St
Chapel Hill, North Carolina 27516
Email: measure@unc.edu
www.measureevaluation.org

MEASURE Evaluation is funded by the United States Agency for International Development (USAID) and the U.S. President's Emergency Plan for AIDS Relief (PEPFAR). The information provided on this web site is not official U.S. government information and does not necessarily represent the views of USAID, PEPFAR or the U.S. government.

Data Quality Review Toolkit

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