Data Quality

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.

Objective

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

Credits

Collaborating organizations involved in the development of Data Quality include:

  • Centers for Disease Control
  • MEASURE Evaluation
  • Office of the Global AIDS Coordinator  
  • United States Agency for International Development