DataDENT hosted an event in Addis Ababa to disseminate outputs from two activities: 1) key findings from a comprehensive assessment of Ethiopia’s food and nutrition data ecosystem and 2) recommendations from a costed plan to strengthen capacity for the national...
Capacity Development Plan for scale-up of UNISE and RTPM nutrition data systems in Ethiopia
Capacity Development Plan | PDF 4.17 MB Date of Publication | August 2025 The Seqota Declaration (SD) Federal Program Delivery Unit (F-PDU) is leading the national scale-up of two digital administrative data systems—UNISE (Unified Nutrition Information System for...
Capacity development for scale-up of multisectoral nutrition data systems in Ethiopia
Brief | PDF 879 KB Date of Publication | November 2025 The Seqota Declaration (SD) Federal Program Delivery Unit (F-PDU) at the Ministry of Health has developed two multisector data platforms (Unified Nutrition Information System for Ethiopia [UNISE] and Resource...
Data for food and nutrition: What does it really cost?
Drastic cuts to donor aid in early 2025 are projected to have lasting consequences for nutrition in the coming decades. Governments and implementers need to do more with less. Timely and accurate food and nutrition data are needed to guide strategic choices about how...
Where should countries invest along the nutrition data value chain? A multisector perspective from Nigeria
During our recent assessment in Nigeria, DataDENT and our local partner NAHI found significant variability across the 14 Ministries, Departments and Agencies (MDAs) included in Nigeria’s National Multisectoral Food and Nutrition Action Plan (NMPFAN) in whether and...
Making qualitative insights more accessible: Using AI to understand key informant interviews
An essential part of improving the availability and use of data in the countries where DataDENT works is understanding the needs and priorities of diverse national and sub-national actors engaged with the nutrition data value chain. We recently carried out multisector...
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...
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...
Data literacy in a world with both too much and too little data
In a data-driven world, individuals and organizations grapple with a paradoxical challenge: navigating an environment characterized by both data overload and data scarcity. This dichotomy creates unique hurdles for data literacy and informed decision-making in...
DataDENT Ethiopia Dissemination Event
DataDENT hosted an event in Addis Ababa to disseminate outputs from two activities: 1) key findings from a comprehensive assessment of Ethiopia’s food and nutrition data ecosystem and 2) recommendations from a costed plan to strengthen capacity for the national...
Capacity Development Plan for scale-up of UNISE and RTPM nutrition data systems in Ethiopia
Capacity Development Plan | PDF 4.17 MB Date of Publication | August 2025 The Seqota Declaration (SD) Federal Program Delivery Unit (F-PDU) is leading the national scale-up of two digital administrative data systems—UNISE (Unified Nutrition Information System for...
Capacity development for scale-up of multisectoral nutrition data systems in Ethiopia
Brief | PDF 879 KB Date of Publication | November 2025 The Seqota Declaration (SD) Federal Program Delivery Unit (F-PDU) at the Ministry of Health has developed two multisector data platforms (Unified Nutrition Information System for Ethiopia [UNISE] and Resource...
Data for food and nutrition: What does it really cost?
Drastic cuts to donor aid in early 2025 are projected to have lasting consequences for nutrition in the coming decades. Governments and implementers need to do more with less. Timely and accurate food and nutrition data are needed to guide strategic choices about how...
Where should countries invest along the nutrition data value chain? A multisector perspective from Nigeria
During our recent assessment in Nigeria, DataDENT and our local partner NAHI found significant variability across the 14 Ministries, Departments and Agencies (MDAs) included in Nigeria’s National Multisectoral Food and Nutrition Action Plan (NMPFAN) in whether and...
Making qualitative insights more accessible: Using AI to understand key informant interviews
An essential part of improving the availability and use of data in the countries where DataDENT works is understanding the needs and priorities of diverse national and sub-national actors engaged with the nutrition data value chain. We recently carried out multisector...
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...
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...
Data literacy in a world with both too much and too little data
In a data-driven world, individuals and organizations grapple with a paradoxical challenge: navigating an environment characterized by both data overload and data scarcity. This dichotomy creates unique hurdles for data literacy and informed decision-making in...