Data Mining

The Data Mining Work Stream seeks to build and expand upon previous Phase III efforts to improve the evidence base for food assistance for nutrition research and programming. 

This Work Stream is comprised of three discrete but related data mining activities: 

FAQR Field Study Data Mining –  

  1. Work with USAID/BHA partners to develop additional research questions that could be explored by conducting additional secondary data analysis on data collected as part of three previous FAQR field studies conducted in Malawi, Burkina Faso, and Sierra Leone. 

  2. Conduct exploratory analyses with the qualitative and quantitative field study data, possibly including pooled data from more than one study, focused on thematic areas related to quality of feeding and care in the household, child growth, and quality of programming in supplemental and blanket feeding programs 

  3. Aggregate key findings from previous FAQR field study analyses with new data mining analyses and offer relevant recommendations for future research and programming for USAID/BHA. 

USAID/BHA Monitoring & Evaluation Data Mining –   

  1. Compile monitoring and evaluation documents and datasets related to USAID development food security activity (DFSA) and emergency food assistance for nutrition programs conducted over the past 10 years. These documents and datasets could include program proposals, annual program reports, midterm evaluation reports, and baseline and endline evaluation reports and data. 

  2. Develop a plan for harmonizing and pooling these baseline and endline evaluation datasets in order to potentially make additional observations related to the design, costs, effectiveness, and variations across programs. 

  3. Deliver the pooled dataset(s) to USAID/BHA along with a report recommending additional analyses that could be conducted using these pool data and research that could be conducted to fill gaps in these data.  

Research Engagement on Food Interventions for Nutritional Effectiveness (REFINE) Data Mining – 

  1. Identify and collect publicly available datasets from articles associated with interventional food assistance for nutrition studies that have been published within the past five years and are included in the REFINE database.  

  2. Determine how these data could be pooled in order to conduct additional analyses to contribute to the food assistance for nutrition evidence base.  

  3. Prepare a report detailing the process, the current availability and access to relevant datasets, recommendations for statistical analyses that could be conducted using these pooled data, suggestions for future research based on a preliminary review of available data, and opportunities for collaboration among investigators, such as creating a public-access database to house food assistance for nutrition research datasets. 


Work Stream Contact

Contact the FAQR Team at