The second blog in our series exploring aid data tools discusses portals produced by countries or institutions to provide access to their aid and development data. Elma Jenkins and Rolf Kleef review the differing levels of complexity – from high-level overviews to detailed data from multiple organisations and multiple data sources. They consider what features make for an accessible data portal, and provide a comprehensive list of the portals currently available.
What aid and development data is available and where can it be found? In this post Elma Jenkins, Publish What You Fund, and Rolf Kleef, data/IT consultant, introduce three user-friendly tools that can be used to access International Aid Transparency Initiative (IATI) data – D-portal, the Datastore and Country Development Finance Data – and describe their key features. This is the first in a blog series examining IATI data access tools.
Ahead of the IATI Members’ Assembly in Copenhagen, we wanted to reflect on the growth of IATI, and highlight the burgeoning number of examples of stakeholders using IATI data for research, policy insights and ultimately to make development more effective.
To mark the launch of our report Improving Funding Transparency for Women’s Economic Empowerment, this blog examines why the publication of results data is vital to understand impact and advance gender equality.
We’ve produced two new guides for anyone wishing to track international funding for women’s economic empowerment (WEE) or women’s financial inclusion (WFI) in their own country. The guides are based on an approach we’ve developed and tested over the last two years, which is designed so that it can be used and adapted by decision makers, researchers and advocates for their own purposes – including holding funders accountable or advocating for different investments. The new step by step guides are concise, accessible and flexible – signposting to a range of other, more detailed resources.
Our women’s economic empowerment team wanted to include as many international funding flows as possible when analysing development assistance data. In this blog, Benjamin Honey explores the pros and cons of merging the two main data sources and describes the methodology we employed.