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.
Continuous Learning for USAID Staff
USAID staff, such as AORs/CORs, who complete this course may be able to claim CL credit. Please check back as this course is under review beginning July 1, 2022. Please visit OAA's Certifications and Career Development page for more information.
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
Time
- 2 hours
Published/Updated
- Friday, May 7, 2010