Data Quality Framework

This resource from the World Bank DIME Wiki outlines a practical framework for monitoring data quality in development projects. It highlights the key dimensions of data quality such as accuracy, completeness, timeliness, and consistency, providing actionable steps for teams to perform routine data checks and corrective actions. By following this framework, development practitioners can ensure the collection of reliable and high-quality data, which is essential for effective decision-making and achieving better project outcomes. The approach fosters accountability and supports continuous improvements in data quality, ultimately enhancing the efficiency and effectiveness of development programs.