Conducting Data Quality Assessments

This guide explains the purpose, standards and what is required for a data quality assessment. The five key data quality standards used to assess the quality of data are only identified, but are explained in more detail in the guide: Data Quality Standards.


  • The purpose of the data quality assessment
  • The data quality standards
  • What is required?
  • Options and approaches for conducting DQAS
  • The process
  • Consider the source - Primary vs. secondary data
  • Table 1. The DQA worksheet for outcome level indicators
  • Table 2. Sample DQA for output indicators: The matrix approach


Adams-Matson, M (2010). Data Quality Standards Performance Monitoring & Evaluation TIPS Washington DC, USAID Center for Development Information and Development Evaluation. Retrieved from


Average: 4 (1 vote)
Rate this Resource:
A special thanks to this page's contributors
Evaluation Specialist, Better Evaluation.
Gold Coast, Australia.


Anonymous's picture
Purity Nduyoh

Interested in the paper

Add new comment

Login Login and comment as BetterEvaluation member or simply fill out the fields below.