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...
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...
Costing National Nutrition Information System (NNIS)
A costing exercise is an important early step in planning a national nutrition information system (NNIS). The exercise helps to specify the resources required for the successful development and implementation of an NNIS (i.e., the investment of resources and efforts...
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...
Strategic leadership, financing & capacity strengthening: Essential elements for a strong nutrition data value chain
"Finding high-value uses and creating a process to transform raw data into actionable information is the essence of the data value chain. …. Ultimately, when data are put to use, they have an impact: a decision is made, a condition is altered, and someone’s well-being...
Three insights into costing and financing nutrition information systems
Multisector nutrition information systems (NIS) are gaining traction at national and global levels. In 2021, WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring (TEAM) released guidance on national NIS, and partners, including DataDENT, are supporting...
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...
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...
Costing National Nutrition Information System (NNIS)
A costing exercise is an important early step in planning a national nutrition information system (NNIS). The exercise helps to specify the resources required for the successful development and implementation of an NNIS (i.e., the investment of resources and efforts...
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...
Strategic leadership, financing & capacity strengthening: Essential elements for a strong nutrition data value chain
"Finding high-value uses and creating a process to transform raw data into actionable information is the essence of the data value chain. …. Ultimately, when data are put to use, they have an impact: a decision is made, a condition is altered, and someone’s well-being...
Three insights into costing and financing nutrition information systems
Multisector nutrition information systems (NIS) are gaining traction at national and global levels. In 2021, WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring (TEAM) released guidance on national NIS, and partners, including DataDENT, are supporting...