This article provides an overview of the current landscape related to data quality and data management practices in social sector projects. It highlights the challenges faced by organizations in ensuring that their data is accurate, reliable, and usable for decision-making. The article discusses the importance of implementing strong data governance frameworks, capacity-building initiatives, and data quality assurance processes to improve data management. It also identifies key gaps in existing practices, offering recommendations for improving data collection, validation, and reporting standards.
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