To showcase the use of Feed-the-Future Open Agriculture and Nutrition Datasets in agricultural research and development, IFPRI's Gender, Climate Change and Nutrition Integration Initiative (GCAN) organized the second Feed the Future DATATHON to make household-level data more accessible and interoperable with other databases, and in particular with spatially explicit, biophysical data layers.
The team processed the Feed the Future baseline and interim datasets for Zambia, applying standard processing methods to enhance their accessibility, interoperability, and comparison with other FTF datasets. This work entailed standardization of variable names and labels, the creation of derived socio-economic indicators such as dietary diversity scores, household dependency ratios, and household age and gender composition variables. Moreover, the provision of household GIS coordinates (offset for confidentiality purposes) would allow users to match data at different levels. The team used and processed the Rural Agricultural Livelihood Survey (RALS) 2012 and 2015, although the dataset at the unit-level cannot be shared as of yet pending confirmation of the data sharing agreements with the data provider.
To facilitate the use of Feed-the-Future Open Agriculture and Nutrition Datasets in agricultural research and development, the IFPRI's Gender, Climate Change and Nutrition Integration (GCAN) team harmonized and standardized the Bangladesh Integrated Household Survey (BIHS) (2011 and 2015, available on IFPRI Dataverse) across four key food security-relevant domains (climate, agriculture, nutrition, and gender), with the objective to make household-level data more accessible and interoperable with other databases, and in particular with spatially-explicit, biophysical data layers. The harmonization and standardization will allow users to work with the BIHS and other Feed-the-Future survey data across countries, with the same variable definitions, labels, and contents.