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...
Developing pathways to cross-sector coordination of nutrition data in Nigeria
In October 2022, participants in the Nigeria National Nutrition Data and Results Conference coalesced around the need for improved nutrition data coordination and stronger capacity for data use across sectors and institutions. They called for development of a...
Ensuring readiness to monitor the reach of new nutrition interventions: A call to invest in coverage indicator development and validation
When a new nutrition intervention is introduced, stakeholders need to monitor the progress of scale up. However, there is often a lag between the introduction of an intervention and its integration into national data systems, including household surveys and...
Is AI the answer to our nutrition data problems?
“Nutrition needs a data revolution” – Global Nutrition Report, 2014 Is Artificial Intelligence (AI) the long-awaited answer to the call for a nutrition data revolution? AI is transforming the ways we can collect, collate, analyze, translate and use data. However,...
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...
Bringing a human-centered approach to strengthening nutrition data value chains
Questions that DataDENT regularly hears from our national partners include “how do we strengthen capacity to use data?” and “how do we improve data quality?” DataDENT’s answer to each of these questions is to start with understanding the desires, needs, and...
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...
Beyond Borders: Insights from challenges in collecting nutrition data from United States household surveys
Low, middle, and high-income countries (LMIC) face similar challenges when collecting population-level data to inform nutrition policies & programs. Earlier this year, the American Society of Nutrition's (ASN) Committee on Advocacy and Science Policy published a...
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...
Developing pathways to cross-sector coordination of nutrition data in Nigeria
In October 2022, participants in the Nigeria National Nutrition Data and Results Conference coalesced around the need for improved nutrition data coordination and stronger capacity for data use across sectors and institutions. They called for development of a...
Ensuring readiness to monitor the reach of new nutrition interventions: A call to invest in coverage indicator development and validation
When a new nutrition intervention is introduced, stakeholders need to monitor the progress of scale up. However, there is often a lag between the introduction of an intervention and its integration into national data systems, including household surveys and...
Is AI the answer to our nutrition data problems?
“Nutrition needs a data revolution” – Global Nutrition Report, 2014 Is Artificial Intelligence (AI) the long-awaited answer to the call for a nutrition data revolution? AI is transforming the ways we can collect, collate, analyze, translate and use data. However,...
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...
Bringing a human-centered approach to strengthening nutrition data value chains
Questions that DataDENT regularly hears from our national partners include “how do we strengthen capacity to use data?” and “how do we improve data quality?” DataDENT’s answer to each of these questions is to start with understanding the desires, needs, and...
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...
Beyond Borders: Insights from challenges in collecting nutrition data from United States household surveys
Low, middle, and high-income countries (LMIC) face similar challenges when collecting population-level data to inform nutrition policies & programs. Earlier this year, the American Society of Nutrition's (ASN) Committee on Advocacy and Science Policy published a...