Based on case studies that document drivers and the value of subnational data programming, DG and DCLI have developed a set of principles for subnational data use. These principles – and the collection of case studies – are a living document
In 2017, Canada rolled out the world's first Feminist International Assistance Policy (FIAP). Through the Results Data Initiative (RDI), we worked with Global Affairs Canada - International Assistance (GAC-IA) to develop its FIAP M&E work plan, design a comprehensive FIAP M&E system to fit within its existing frameworks, and calculate pre-FIAP baseline values for all 26 indicators identified. This paper outlines the challenges and opportunities that development agencies may face when adopting new and/or feminist policies, and provides an overview of how other development agencies can integrate a feminist lens into their M&E frameworks.
Understanding Data Use: Building M&E Systems that Empower Users, emphasizes how critical it is for decision-makers to consider users’ decision space – from the institutional all the way to technical levels – in achieving data uptake.
In 2016, with our partners at the AidData Center for Development Policy, DG undertook three country studies exploring how development data influence decision-making in Timor-Leste, Honduras, and Senegal. The "Avoiding Data Graveyards" report details the findings of those studies.