Preprint Article | https://doi.org/10.12688/verixiv.1144.1 Date of Publication | July 2025 Abstract Introduction: Data visualization—the process of graphically displaying data to tell a story—is widely used as a strategy to communicate data to policy decision-makers...
Revisiting the nutrition data value chain: An updated framework to promote data use
For the last seven years DataDENT has championed the nutrition data value chain (DVC) as the guiding framework for our initiative. It is rare to see a presentation by a DataDENT team member that does not start with the DVC. DataDENT did not create the idea of a DVC or...
How can we build capacity for data analysis and translation? Learning from Countdown to 2030
Background DataDENT is working to identify knowledge & skills needed to support strong nutrition data value chain and ways to effectively strengthen the capacity of teams engaged with national nutrition information systems (NIS). We are committed to learning from...
What knowledge and skills support better use of nutrition data?
We previously reported hearing the following question from our national partners: How do we strengthen capacity to use nutrition data? To help answer this question, DataDENT is taking a critical look at the knowledge and skills underpinning this capacity at the...
Who is being reached by nutrition-sensitive social protection programs? Advancing methods for measuring NSSP coverage using household surveys
Nutrition-sensitive social protection (NSSP) refers to a subset of social protection poverty alleviation programs that include targeting approaches, interventions, and conditions to address the underlying determinants of malnutrition (Ruel 2013). Design features that...
Filling the capacity gap to support the scale-up of multisector nutrition data platforms in Ethiopia
DataDENT champions strategic planning, financing, and capacity strengthening as pillars of a strong enabling environment for nutrition data. DataDENT has supported governments and partners in Africa and South Asia in developing strategic outputs harmonized with...
Combined best practices and lessons for data visualization tools in nutrition
The PowerPoint presentation consolidates recommendations for best practices and lessons learned from DataDENT’s workstreams on data visualization tools (DVTs) in nutrition. Download the Slide Deck: Combined best practices and lessons for data visualization tools in...
Data visualization tools (DVTs) for nutrition in India: A landscape review
Data Visualization Tools (DVTs) for Nutrition in India: A Landscape Review Slides | PDF 1.95MB IFPRI & R4D conducted a landscaping of 10 nutrition data visualization tools (DVTs) in India to identify: 1. What nutrition DVTs are available in India? 2. What is the...
District Nutrition Profiles (collaboration with POSHAN)
India’s District Nutrition Profiles (DNPs)—co-developed by DataDENT, POSHAN, NITI-Aayog, and other national nutrition partners—provide a district-level snapshot of the population’s nutritional status and key determinants that map to the UNICEF nutrition framework...
Technical Notes for the WHO-UNICEF National Nutrition Information System Guidance
The WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring (TEAM) created the first-ever global guidance on NNIS to outline core concepts of a National Nutrition Information Systems (NNIS). Technical Notes are designed to help stakeholders understand and...
Data visualization for action: sensemaking and preferences among nutrition stakeholders in Nigeria
Preprint Article | https://doi.org/10.12688/verixiv.1144.1 Date of Publication | July 2025 Abstract Introduction: Data visualization—the process of graphically displaying data to tell a story—is widely used as a strategy to communicate data to policy decision-makers...
Revisiting the nutrition data value chain: An updated framework to promote data use
For the last seven years DataDENT has championed the nutrition data value chain (DVC) as the guiding framework for our initiative. It is rare to see a presentation by a DataDENT team member that does not start with the DVC. DataDENT did not create the idea of a DVC or...
How can we build capacity for data analysis and translation? Learning from Countdown to 2030
Background DataDENT is working to identify knowledge & skills needed to support strong nutrition data value chain and ways to effectively strengthen the capacity of teams engaged with national nutrition information systems (NIS). We are committed to learning from...
What knowledge and skills support better use of nutrition data?
We previously reported hearing the following question from our national partners: How do we strengthen capacity to use nutrition data? To help answer this question, DataDENT is taking a critical look at the knowledge and skills underpinning this capacity at the...
Who is being reached by nutrition-sensitive social protection programs? Advancing methods for measuring NSSP coverage using household surveys
Nutrition-sensitive social protection (NSSP) refers to a subset of social protection poverty alleviation programs that include targeting approaches, interventions, and conditions to address the underlying determinants of malnutrition (Ruel 2013). Design features that...
Filling the capacity gap to support the scale-up of multisector nutrition data platforms in Ethiopia
DataDENT champions strategic planning, financing, and capacity strengthening as pillars of a strong enabling environment for nutrition data. DataDENT has supported governments and partners in Africa and South Asia in developing strategic outputs harmonized with...
Combined best practices and lessons for data visualization tools in nutrition
The PowerPoint presentation consolidates recommendations for best practices and lessons learned from DataDENT’s workstreams on data visualization tools (DVTs) in nutrition. Download the Slide Deck: Combined best practices and lessons for data visualization tools in...
Data visualization tools (DVTs) for nutrition in India: A landscape review
Data Visualization Tools (DVTs) for Nutrition in India: A Landscape Review Slides | PDF 1.95MB IFPRI & R4D conducted a landscaping of 10 nutrition data visualization tools (DVTs) in India to identify: 1. What nutrition DVTs are available in India? 2. What is the...
District Nutrition Profiles (collaboration with POSHAN)
India’s District Nutrition Profiles (DNPs)—co-developed by DataDENT, POSHAN, NITI-Aayog, and other national nutrition partners—provide a district-level snapshot of the population’s nutritional status and key determinants that map to the UNICEF nutrition framework...
Technical Notes for the WHO-UNICEF National Nutrition Information System Guidance
The WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring (TEAM) created the first-ever global guidance on NNIS to outline core concepts of a National Nutrition Information Systems (NNIS). Technical Notes are designed to help stakeholders understand and...