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  • Data collection,  Data value chain,  India

    Tracking India’s Progress on Addressing Malnutrition and Enhancing the Use of Data to Improve Programs

    January 8, 2021

    In collaboration with Partnerships and Opportunities to Strengthen and Harmonize Actions for Nutrition in India (POSHAN), NITI Aayog, and ID Insight, DataDENT developed a joint report addressing considerations for improving the availability and use of data to improve nutrition programs in India. The report shares a comprehensive indicator framework aligned with India’s National Nutrition Mission, POSHAN Abhiyaan, and describes a theory…

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    DataDENT No Comments
  • Advocacy,  Data for Nutrition,  Data value chain,  Data visualization

    2020 DataDENT Highlights

    December 29, 2020

    2020 will be remembered as a year the world radically changed, but it was also a year that reminded us of the importance of fundamental structures and systems. Now, as much as ever, strengthening the nutrition data value chain (DVC) is needed to address the challenges COVID-19 crisis poses to food, nutrition, and health globally. During 2020, DataDENT partners—the Johns…

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    Rebecca Heidkamp (JHSPH), Riley Auer (JHSPH) No Comments
  • Data visualization

    Strengthening nutrition data visualization at the Nutrition Society of Nigeria annual conference

    December 22, 2020

    In November 2020, the Nutrition Society of Nigeria (NSN) held is 50th Annual General Meeting and Scientific conference titled “Improving Nutrition Intervention Outcomes in Nigeria through Evidence-Based Nutrition, Data Generation and Dissemination” in Kaduna State. DataDENT members remotely led two pre-conference sessions focused on improving data visualization practices in nutrition for over 300 participants. During the first session, “Data visualization…

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    Tricia Aung, Yashodhara Rana 1 Comment
  • Data visualization

    Champions of Change: How NITI Aayog is improving a data visualization tool for data-driven policy and decision making

    December 22, 2020

    The Champions of Change (COC) Dashboard was developed by NITI Aayog to monitor district progress and aid in decision making. In our conversation with Rama Kamaraju, Data Scientist at NITI Aayog, we discussed the use of data under the Aspirational Districts Program (ADP) and how the COC Dashboard supports data-driven policy making in India. In 2019-2020, DataDENT implemented by the…

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    Rama Kamaraju (NITI Aayog), Manita Jangid (IFPRI) No Comments
  • Data collection,  India

    Understanding the Role of Cognitive Interviewing in Improving Survey Questions

    November 17, 2020

    While answering a survey questionnaire, how do the respondents interpret the questions? What techniques of cognitive interviewing can facilitate appropriate framing of the questions? These are important considerations to have while designing survey questions to ensure that they clearly communicate the question’s intent and elicit responses aligned with the intended interpretation. To look at these concepts more closely, IFPRI—an implementing…

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    Sattvika Ashok and Emily Myers, IFPRI No Comments
  • Data value chain

    Evidence and lessons on improving data use and quality in India’s nutrition program

    October 29, 2020

    To strengthen nutrition information systems and improve nutrition outcomes in India, we must improve data quality and facilitate the use of data at all levels. This was the theme of one of the key thematic sessions at ‘Delivering for Nutrition in India: Insights from Implementation Research 2020’, a virtual event co-hosted by Partnerships and Opportunities to Strengthen and Harmonize Actions…

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    Manita Jangid (IFPRI) No Comments
  • Children

    Measure & Adapt: How are school feeding programs changing during COVID-19?

    October 19, 2020

    Schools across the world closed alongside national lockdowns to contain the spread of COVID-19, leaving many children without access to school meals. Schools are important platforms for delivering high-impact health, nutrition-specific, and nutrition-sensitive interventions like school feeding programs. The World Food Programme (WFP) launched the Global Monitoring of School Meals during COVID-19 School Closures map in March 2020 to track…

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    Riley Auer (JHSPH), Tricia Aung (JHSPH) No Comments
  • Children,  Infant and Young Child Feeding,  Survey data

    Unpacking a framework for measuring infant and young child feeding counselling coverage in household surveys

    September 24, 2020

    Infant and young child feeding (IYCF) counselling is important to facilitate optimal feeding practices and improve child survival. I sat down with Sunny Kim, Research Fellow with the International Food Policy Research Institute and DataDENT team member, to discuss the recent paper “Measuring coverage of infant and young child feeding counselling interventions: A framework and empirical considerations for survey question…

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    Riley Auer 1 Comment
  • Data visualization

    Through the Eyes of the User: Tips for Producers of Global Nutrition Data Visualization Tools

    September 10, 2020

    Given the recent upheaval due to the COVID-19 pandemic and adjustments needed in planning, targeting, and implementation of programs, data is more important than ever before. In nutrition, we have seen a proliferation of global data visualization tools (DVTs). Data visualization aids audiences in interpreting data and focusing on key priorities (Evergreen, 2016). For example, nutrition advocates frequently include visualizations…

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    Caroline Snead (R4D), Natasha Ledlie (R4D), Yashodhara Rana (R4D) No Comments
  • Data value chain,  Data visualization

    Together for Nutrition: West African Data Forum Call to Action

    June 24, 2020

    In February 2020, DataDENT in collaboration Transform Nutrition West Africa (led by International Food Policy Research Institute), UNICEF, Countdown to 2030, CDC, WHO, WAHO, and NIPN co-convened Together for Nutrition: West African Data Forum. The convening had the following objectives: 1. Share national and regional achievements and challenges in operationalizing the data value chain for nutrition 2. Strengthen connectivity, coordination,…

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    Tricia Aung No Comments
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