Marcelo Tyszler and Ewen Le Borgne
Many CGIAR gender scientists have a qualitative research background, including researchers in the agri-food systems research programs. This suggests untapped potential in terms of using qualitative gender data collected through Focus Groups Discussions (FGD), Key Informant Interviews (KII) and other forms of Participatory Action Research (PAR).
However, these datasets vary widely on how data is structured and the detail of documentation provided. By facilitating the tagging, findability and accessibility of quantitative and qualitative gender data The working group gender meets Big data aims to facilitate mixed methods research by providing opportunities for both qualitative and quantitative researchers to exchange insights and create a stronger dialogue. This report is the outcome of a mini-grant procided by the CoP on socio-economic data to the CGIAR Gender Platform late 2018 to identify and tag relevant gendered data sets.