Overview
Sound decisions are based on sound data; therefore, it is essential to ensure that the data are of good quality. DQR is designed to assess the quality of data generated by Monitoring and Evaluation Systems. It serves to institutionalize a system for assessing quality of data, including routine monitoring of data, independent annual data quality reviews and periodic in-depth assessments of programs; to identify weaknesses in the data management system and interventions for system strengthening; and to monitor the performance of data quality over time and the capacity to produce good quality data. The six main dimensions we use to assess Data quality include: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
Other Solutions
Overview
Sound decisions are based on sound data; therefore, it is essential to ensure that the data are of good quality. DQR is designed to assess the quality of data generated by Monitoring and Evaluation Systems. It serves to institutionalize a system for assessing quality of data, including routine monitoring of data, independent annual data quality reviews and periodic in-depth assessments of programs; to identify weaknesses in the data management system and interventions for system strengthening; and to monitor the performance of data quality over time and the capacity to produce good quality data. The six main dimensions we use to assess Data quality include: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
