Making International Development Data Not Useless

Abstract

International development data is often incomparable, error-prone, and incomplete - making interpretation frustrating and unreliable. This presentation explains the AQUASTAT team's efforts to minimize data quality issues and present the best water resource information possible. Covers data validation, quality control workflows, and strategies for making messy real-world data usable.