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.

Contents

  • 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

Source

Adams-Matson, M (2010). Data Quality Standards Performance Monitoring & Evaluation TIPS Washington DC, USAID Center for Development Information and Development Evaluation. Retrieved from http://transition.usaid.gov/policy/evalweb/documents/TIPS-ConductingDataQualityAssessments.pdf

 

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Author
Research Fellow, RMIT University.
Melbourne.

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