Tools & Resources
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Taking action: Improve the nutrition content in DHS Round 9 Surveys
This blog captures joint recommendations around four topic areas for the DHS-9 questionnaire revision.
Bridging the humanitarian and development divide through nutrition information systems
This blog explores the roles that nutrition information systems (NIS) play in supporting a more unified approach to nutrition and food security responses along the humanitarian-development continuum.
Data literacy in a world with both too much and too little data
This blog highlights the importance of strong data literacy and a culture of data use for teams to effectively navigate their nutrition data landscapes.
Developing pathways to cross-sector coordination of nutrition data in Nigeria
This blog provides an update on DataDENT's efforts in Nigeria to improve coordination of nutrition data across sectors.
Ensuring readiness to monitor the reach of new nutrition interventions: A call to invest in coverage indicator development and validation
This blog builds a case for investing in the design and validation of new intervention coverage indicators within ongoing trials, evaluations and implementation research.
How can we build capacity for data analysis and translation? Learning from Countdown to 2030
This blog highlights learning from the Countdown to 2030 approach to capacity strengthening for data analysis and use.
Diet quality among mothers and children in India: Roles of social and behavior change communication and nutrition-sensitive social protection programs
This article explores the role of social and behavior change communication (SBCC) and nutrition-sensitive social protection (NSSP) programs on maternal and child diet quality in India.
Using validity as a criterion for selecting process indicators for the World Health Assembly 2030 nutrition targets
This blog shares DataDENT's recommendations for the process indicators used for the WHA anemia and EBF targets as they are extended to 2030.
Is AI the answer to our nutrition data problems?
This blog highlights AI’s potential to build strong and impactful nutrition data value chains and emphasizes continued investment in data collection and data literacy.