Nutrition data is often infrequently collected, unreliable and noncomparable across time and regions, making it
difficult to track progress in real time. Administrative data represents a goldmine of actionable information, with the potential benefits of timeliness and full coverage of program participants. But governments need to focus their efforts in improving the quality of administrative data. Administrative data collection is projected as a goal with strict timelines, thereby putting pressure on frontline workers to meet deadlines without paying attention to the quality of the data collected. We propose a systematic strengthening of data collection procedures that can produce accurate and actionable information.
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