Collection of sex-disaggregated data and gender analysis
Such data will help in identifying menâ€™s and womenâ€™s differentiated perceptions, experiences, contributions and priorities; for example, during the targeting and priority setting phase of the research cycle. It will ultimately help in defining interventions that will enhance gender equity both at the levels of research design and when facilitating the adoption ofÂ outputs.
Researchers will consistently employ gender analysis as a tool to provide in depth information on gender differentiation, and, in particular, to identify institutional, cultural and attitudinal factors underpinning differentiation. Gender analysis will identify options and priorities for transforming inequality, and will identify the roles and responsibilities of relevant stakeholders in realising these options and priorities. Although gender differentiation is inherently a localised experience, the analysis of conditioning factors will highlight features of institutions (including markets, policies and legal regimes) at multiple governance levels that influence local-level outcomes (research design).