Activities
Ongoing activities
DARE UK Phase 2 will unite Trusted Research Environments (TREs) across the UK to build a connected national network of secure data research infrastructures, enabling better, faster, and safer sensitive data research.
DARE UK Phase 2 (August 2024 – March 2027)
Phase 2 of the DARE UK programme is an iterative build, assemble and test process
Built on the foundations of Phase 1, the aim is to start assembling and testing the digital infrastructure required for research to tackle complex societal challenges. As DARE UK’s previous work has shown, this can deliver new insights into challenges such as long-term unemployment, children’s mental health, childhood obesity and transforming the food economy.
Phase 2 will support researchers using TREs to do faster and safer research with sensitive data, for example, through new capabilities in federated analysis and safe training of AI models. The programme will continue to work with and convene stakeholders across the research ecosystem to deliver this in Phase 2.
For researchers, a successful Phase 2 will mean:
- The ability to answer new research questions through new data linkages and analyses at scale
- New support for cutting-edge research using sensitive data, such as training AI/ML models
- Reduced time to safely access different types of sensitive data across the UK
- Reduced time to safely export the results of their research for publishing
- Improved user experience when moving from one TRE to another
- Reduced costs of doing research using linked sensitive data
DARE UK Phase 2 overview
This phase will support the development and testing of information governance and technological requirements for a connected national network of secure data research infrastructures in the UK. This work will be guided by sector standards and best practices, with a focus on trustworthiness and delivering public benefit.
Transformational programme
Building new capabilities to support sensitive data research across the UK, supporting the testing and adoption of these capabilities, and demonstrating real-world scientific impact using these capabilities. These capabilities include support for federated projects, AI training, standardisation and interoperability.
Next-generation proof of concepts
Developing prototypes of next-generation capabilities needed to enable future, innovative sensitive data research.
Community building, engagement and standards
Supporting a vibrant community ecosystem, promoting self-organisation, information sharing, and consensus building around common standards and good practice.