Diabetes Data Science Catalyst

This exciting partnership between the BHF Data Science Centre, Diabetes UK and HDR UK aims to develop improvements in our understanding of the link between cardiovascular diseases and diabetes.

Theme Lead: Professor Ewan Pearson 

There are over 4.3 million people living with diabetes in the UK, and cardiovascular disease remains the leading cause of death among this population. Despite advances in treatment, many people with diabetes still face higher risks of heart attacks, strokes, and heart failure. The Diabetes Data Science Catalyst, a partnership between the BHF Data Science Centre, Diabetes UK, and HDR UK, aims to harness the power of large-scale data to better understand and address the complex relationships between diabetes and cardiovascular health. 

What we do 

We’re working to improve how data is used to support research and care for people living with diabetes, with a focus on preventing and managing heart and circulatory problems. By making it easier to access and use linked health data, and improving the systems that support life-changing research, we aim to uncover new insights into how treatments work in the real world, why care can vary, and how we can intervene earlier to help people with these conditions to stay healthier for longer. 

Key areas of work 

Diabetes Community of Practice 

Our Diabetes Community of Practice brings together researchers across the UK who work on diabetes health data. These quarterly meetings allow members to present their latest research findings, make new connections, and explore opportunities to collaborate. To join, get in touch at bhfdsc@hdruk.ac.uk

 

Driver Projects 

We have supported five projects using whole population data, two of which have been directly funded by the Diabetes Data Science Catalyst.  

Defining diabetes 

For effective data research into diabetes, researchers need to know exactly how to define all the different types of diabetes. We’re working to develop these definitions so scientists can ask and answer the most important research questions as accurately as possible. 

Areas of work

Find out more about our data-led research.