As Publish What You Fund and others in the aid transparency community turn their energies toward improving data use, Ruth Levine and Joseph Asunka of the William and Flora Hewlett Foundation present six practical ideas that could speed up progress. These ideas could go a long way to increase the use of data by government officials, and the organisations and citizens working to hold their government officials accountable for results.
It’s been a busy year at Publish What You Fund. As is traditional at this time of year, we’ve been reflecting on what we’ve achieved and what we need to do next. Here’s our quick roundup of what the team has been up to – from the influential Aid Transparency Index, and on the ground research into aid flows in Liberia and Cambodia, to developing new tools to increase access to aid and development data.
The aid transparency community has a decision to make. All at once we need to raise awareness of the presence of huge volumes of aid and development finance information, and at the same time support new and existing users when they have challenges accessing it. In short, as more people look to IATI as a […]
Do you know what aid and development data is available that could support your work? Do you know how and where to find the details of over one million aid and development activities? If you would like to know more about the data and tools available, sign up for one of our free interactive webinars […]
Today we’re launching a new tool that uncovers huge swathes of previously incomprehensible aid and development information. IATI Decipher, for the first time, visualises strategic and budget documents in the IATI Registry. This valuable data – encompassing over 22,300 strategic documents and $2.6 trillion of global donor budgets – was only previously accessible to those […]
The importance of good quality, open data to the success of the Sustainable Development Goals is clear. In this blog, Charlotte reflects on her time at the UN World Data Forum, and the lessons for the role of transparency in development data.
