Towards the end of last year we began a review of the Aid Transparency Index assessment method. High on our list of priorities was the issue of networking and linking of aid data, and how we might measure this in the Index assessment. In this blog, Alex Tilley provides an update on our review and the inclusion of the new Networked data indicator in the 2022 Index.
We have now completed our selection process and can announce which organisations will be assessed in the 2022 Aid Transparency Index. The Index assesses the transparency of the major aid organisations internationally (including “South-South” donors) and assesses a different types of agency, including bilateral, multilateral and philanthropic organisations that provide both grants and development finance, and that intervene in humanitarian emergencies and fund development projects.
We will assess a total of 50 organisations in the 2022 Index, three more than we assessed in 2020.
We are pleased to announce that our review of the Aid Transparency Index assessment method has successfully concluded. We have a new Technical Paper which we will use for the 2022 Aid Transparency Index assessment.
A recent announcement by the OECD-DAC on new rules for how debt relief will be counted as ODA has raised questions around aid allocation and transparency in this area. With a looming debt crisis, the role of debt relief is looking increasingly important. In this blog we examine what we currently know about data on debt relief, how it is reported, and the data gaps. We consider the implications of the new rules for the transparency of ODA.
We can now announce the donors that will be included in the 2020 Aid Transparency Index, along with the timeline for data collection. Two donors have been added to the donor list for next year’s Index, joining the 45 donors included in the 2018 Index.
Tracing resources along the development chain, from source to frontline expenditure, is an important element of transparency for all data users. We recently produced a visualisation of all the links between current IATI data. The results surprised us, and this blog explains why.
