Joined-Up Data Uganda: improving district-level data for development


Prepared and co-published by our partner organisation, Development Research and Training, Uganda

For transparency to deliver real change, the information it discloses must be able to be used. Different users seek information for many purposes, and often want to combine information from different sources to make it meaningful to them. A lot of data exists but that the right data often isn’t available, or put to the right use.

Joined-Up Data Uganda

We (DI–DRT) are implementing a study to ‘join-up data’ on resource investments in agriculture, education and health in two districts of Uganda, to test how they compare and interlink with social impact data on the same sectors.

We’re aiming to create a pilot model of a ‘joined-up data’ portal and provide evidence-based recommendations for international stakeholders who see interoperable data for ending poverty as a global public good.

Key assumptions

  • Leaders regularly make decisions on agriculture, education and health; but these are not based on coherent, timely and joined-up data.
  • Different types of data can have more meaning when they are joined for stakeholders.
  • There are overlapping sources of data at multiple levels.

So if data was joined together in a complementary form this would enable better decision making and resource allocation in the agriculture, education and health sectors.

The Data Revolution debate

This project offers DRT and DI an opportunity to contribute to the post-2015 Data Revolution debate. How we actualise the global data revolution theory of change, which asserts that providing decision makers with data will translate into better services for citizens? Decision makers must be provided with better information to therefore ask better questions and find better solutions.