Many governments and donors are investing in Large-Scale Food Fortification (LSFF) as a cost-effective strategy for preventing micronutrient deficiencies. However, gaps in data on household-level coverage of LSFF are common for most foods except salt. In a previous...
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...
Using process maps to guide the scale-up of national nutrition information systems in Ethiopia
Moving multisector coordination from theory to practice is complex, and it is important to learn from country experiences. A multisector nutrition information system (NIS) supports coordination by synthesizing data from diverse data sources and across different...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...
Who needs nutrition data? Reflections from DataDENT in Nigeria
DataDENT and our local partner Nutrition, Agriculture and Health Initiative (NAHI) are close to finishing an assessment among national and sub-national actors implementing Nigeria’s National Multisectoral Plan of Action for Food and Nutrition (NMPFAN) 2021-2025. Our...
Taking action: Improve the nutrition content in DHS Round 9 surveys
The Demographic and Health Surveys (DHS) are a vital source of nutrition data for governments and development partners. In an online survey conducted by DataDENT in 2018, nutrition professionals were asked how they access and use nutrition data. Among the 191 survey...
Learnings from formative research on measuring coverage of large-scale food fortification in household surveys in Bangladesh and Ethiopia
Many governments and donors are investing in Large-Scale Food Fortification (LSFF) as a cost-effective strategy for preventing micronutrient deficiencies. However, gaps in data on household-level coverage of LSFF are common for most foods except salt. In a previous...
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...
Using process maps to guide the scale-up of national nutrition information systems in Ethiopia
Moving multisector coordination from theory to practice is complex, and it is important to learn from country experiences. A multisector nutrition information system (NIS) supports coordination by synthesizing data from diverse data sources and across different...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...
Who needs nutrition data? Reflections from DataDENT in Nigeria
DataDENT and our local partner Nutrition, Agriculture and Health Initiative (NAHI) are close to finishing an assessment among national and sub-national actors implementing Nigeria’s National Multisectoral Plan of Action for Food and Nutrition (NMPFAN) 2021-2025. Our...
Taking action: Improve the nutrition content in DHS Round 9 surveys
The Demographic and Health Surveys (DHS) are a vital source of nutrition data for governments and development partners. In an online survey conducted by DataDENT in 2018, nutrition professionals were asked how they access and use nutrition data. Among the 191 survey...