We know that Monitoring and Evaluation (M&E) aims to support accountability and learning, in order to drive better outcomes. Through the Results Data Initiative (RDI), we’ve approached M&E with a critical eye – how can we better allocate M&E funding, and what results are we really striving for?
Today, DG is pleased to be releasing a white paper that shares our thinking around smarter M&E investments to drive data use, gained from RDI implementation. The paper, 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.
Specifically, we call on smart mapping of this decision space – what do intended M&E users need, and what institutional factors shape those needs? With this understanding, we can better anticipate what types of data are most useful, and invest in systems to support data-driven decision making and better outcomes.
Mapping decision space is essential to understanding M&E data use. And as we’ve explored before, the development community has the opportunity to unlock existing resources to access more and better data that fits the needs of development actors to meet the SDGs. This white paper is intended to serve as a starting point of a global discussion on the path forward for M&E data, and we look forward to your thoughts and feedback!
Happy reading, and let us know what you think on Twitter at @DGateway.
Understanding Data Use: Building M&E Systems that Empower Users was written by Susan Stout, Vinisha Bhatia, Paige Kirby, and Josh Powell, each of Development Gateway.
Many factors must be considered before investing in a data ecosystem for sustainable development, including the objective of the assessment, the focus level, and specific goals for data outputs. IREX’s Jesus Melendez Vicente and DG’s Carmen Cañas would like to share a few insights and questions to help you get started, including a curated list of tools for data ecosystem assessments.
Our Visualizing Insights for Fertilizer in African Agriculture (VIFAA) Program launched an Innovation Fund to address data shortages relating to total crop production. Building on its track record of mapping land cover, Quantitative Engineering Design (QED) was selected to tackle the challenge of mapping Nigeria’s croplands. Through the Innovation Fund, DG and partners will use the resulting data and maps to answer two questions: (a) what is the total cropland under production in Nigeria and (b) what is the cropland under production by crop type.
In the past decade, there has been over $7 billion worth of private-sector investments into Nigeria’s agriculture sector. Why, and what is the impact of these investments? What does it mean for Nigerian farmers? In this blog, we explore these and other changes happening in the Nigerian fertilizer market.