Choosing the Right Food and Nutrition Data Solutions: Guiding Questions for Country Decision-Makers
The blog introduces a DataDENT tool that helps country decision-makers choose appropriate food and nutrition data investments by clarifying use cases, assessing existing data systems, and identifying practical, context-appropriate solutions across the data value chain.
Who is being reached with multisector nutrition interventions? Introducing a framework for co-coverage and composite coverage analysis
This blog shares our flexible methodological framework for co-coverage and composite coverage analysis.
Enhancing clarity and validity: Cognitive interviewing to improve Nutrition-Sensitive Social Protection coverage survey questions
This blog shares how cognitive testing helped us improve household survey questions about the coverage of nutrition-sensitive social protection (NSSP).
Transitioning from IFA to MMS: A new supplement brings new measurement challenges
This blog captures challenges in defining intervention, designing effective visual aids, and women’s ability to identify the intervention and shares DataDENT recommendations to minimize those.
Data for food and nutrition: What does it really cost?
This blog highlights DataDENT's Cost Considerations Framework for Food and Nutrition Data developed based on our work in Ethiopia and Nigeria.
Where should countries invest along the nutrition data value chain? A multisector perspective from Nigeria
This blog highlights assessment findings from different sectors of Nigeria and considerations on prioritizing investment.
Making qualitative insights more accessible: Using AI to understand key informant interviews
This blog shares DataDENT's experience of using the AI tools in qualitative data analysis in Ethiopia.
Learnings from formative research on measuring coverage of Large-Scale Food Fortification in household surveys in Bangladesh and Ethiopia
This blog highlights findings from DataDENT's formative research in Bangladesh and Ethiopia to refine household survey questions on LSFF coverage.
Revisiting the nutrition data value chain: An updated framework to promote data use
This blog captures the changes made to the nutrition data value chain (DVC) framework based on DataDENT’s experience with the stakeholders’ engagement in LMICs.
Using process maps to guide the scale-up of national nutrition information systems in Ethiopia
This blog showcases the development of process maps to support the scale-up of Ethiopia’s multisectoral information systems.
Choosing the Right Food and Nutrition Data Solutions: Guiding Questions for Country Decision-Makers
The blog introduces a DataDENT tool that helps country decision-makers choose appropriate food and nutrition data investments by clarifying use cases, assessing existing data systems, and identifying practical, context-appropriate solutions across the data value chain.
Who is being reached with multisector nutrition interventions? Introducing a framework for co-coverage and composite coverage analysis
This blog shares our flexible methodological framework for co-coverage and composite coverage analysis.
Enhancing clarity and validity: Cognitive interviewing to improve Nutrition-Sensitive Social Protection coverage survey questions
This blog shares how cognitive testing helped us improve household survey questions about the coverage of nutrition-sensitive social protection (NSSP).
Transitioning from IFA to MMS: A new supplement brings new measurement challenges
This blog captures challenges in defining intervention, designing effective visual aids, and women’s ability to identify the intervention and shares DataDENT recommendations to minimize those.
Data for food and nutrition: What does it really cost?
This blog highlights DataDENT's Cost Considerations Framework for Food and Nutrition Data developed based on our work in Ethiopia and Nigeria.
Where should countries invest along the nutrition data value chain? A multisector perspective from Nigeria
This blog highlights assessment findings from different sectors of Nigeria and considerations on prioritizing investment.
Making qualitative insights more accessible: Using AI to understand key informant interviews
This blog shares DataDENT's experience of using the AI tools in qualitative data analysis in Ethiopia.
Learnings from formative research on measuring coverage of Large-Scale Food Fortification in household surveys in Bangladesh and Ethiopia
This blog highlights findings from DataDENT's formative research in Bangladesh and Ethiopia to refine household survey questions on LSFF coverage.
Revisiting the nutrition data value chain: An updated framework to promote data use
This blog captures the changes made to the nutrition data value chain (DVC) framework based on DataDENT’s experience with the stakeholders’ engagement in LMICs.
Using process maps to guide the scale-up of national nutrition information systems in Ethiopia
This blog showcases the development of process maps to support the scale-up of Ethiopia’s multisectoral information systems.