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A Minimum Set of Nutrition Indicators for Agriculture Surveys: Attempting To Bridge the Agriculture-Nutrition Data Gap

Pointing out the gaps in nutrition data gathered as part of traditional large-scale agriculture surveys, Tata-Cornell Agriculture and Nutrition Initiative (TCi) Program Manager, Katie Ricketts, highlights the need for harmonized data collection for better analysis of nutritional trends. Through the TCi program, the Minimum Nutrition Dataset for Agriculture seeks to develop the most essential metrics for determining nutritional status that can be integrated into ongoing longitudinal surveys. The blog includes impressions from field testing in India and describes how similar dietary diversity scores can be collected effectively and efficiently and analyzed to contextualize diets. 

Economics That Really Matters Blog, December 2014