High quality data are needed to inform, monitor, and manage HIV/AIDS programs. This course will help participants understand what data quality is, why it is important, and what programs can do to improve it.
After completing this introductory course on data quality, students will be able to:
- Define why data are important to programs
- Describe “data quality”
- List the seven dimensions of data quality
- Identify the different types of double counting that impact data quality and the strategies that can be employed to avoid double counting
The content of this course is primarily adapted from:
Global Fund to Fight AIDS, Tuberculosis, and Malaria, Office of the Global AIDS Coordinator, USAID, WHO and MEASURE Evaluation. 2007. Data Quality Assessment Tool (Volume 1). Guidelines for Implementation: Audit Guidelines for Assessing a Program/Project's Ability to Report on Quality Data. Washington, DC: Office of the Global AIDS Coordinator.
Course Last Updated: May 2010