Digital research infrastructure allows us to work with data and computation efficiently and securely across all research and innovation challenges.
The building blocks of the digital research infrastructure system include:
- large-scale compute facilities, including high-throughput, high-performance, and cloud computing
- data storage facilities, repositories, stewardship and security
- software and shared code libraries
- mechanisms for access, such as networks and user authentication systems
- people: the users, and the experts who develop and maintain these powerful resources
UKRI’s vision for digital research infrastructure
Our vision is a coherent state-of-the-art national digital research infrastructure that will seamlessly connect researchers, policymakers and innovators to the computers, data, tools, techniques and skills that underpin the most ambitious and creative research.
Our vision for a national digital research infrastructure is guided by the following principles.
We will:
- be driven by the ambition of our diverse communities
- provide a federated system (where diverse systems work together in an efficient and secure manner) of digital research infrastructure that includes both breadth and depth of capabilities and skills
- build a digital research infrastructure to stimulate breakthroughs and accelerate innovation
- accelerate productivity by enabling secure and easy access through common access procedures and authorisation technologies
- understand the environmental impacts of our investments and make changes to improve our sustainability that contribute to the UK’s commitment to net zero
- work with partners to maximise the value from our investments
- think and plan long-term to develop the UKRI’s digital research infrastructure in the context of other related government investments and strategies
Our activities will focus on five inter-related thematic areas.
Data infrastructure
We will provide the data storage and data services infrastructure, and the policies needed to extract maximum value from all forms of datasets, including from:
- science
- medicine
- arts and humanities
- the environment
- society
Large-scale computing
Our ambition is to:
- provide a world-class large-scale compute infrastructure to enable the large-scale deployment of artificial intelligence (AI)
- push the frontiers of data-intensive research through modelling, simulation and analysis
Secure services and tools for sensitive data
We will work with partners to provide highly secure data services for sensitive data, for example Trusted Research Environments (TREs) where researchers can appropriately access and analyse sensitive data without the data leaving the secure environment. Examples of sensitive data include personally identifiable or commercial data.
We will also deliver the appropriate tools for researchers, innovators and decision-makers to:
- accelerate public benefit
- maintain public trust in research using sensitive data
Skills and career pathways
We will invest in people to widen the breadth and depth of skills needed for:
- the new digital research infrastructure
- the adoption of modern digital techniques
- the development of career paths for digital research infrastructure professionals that are rewarding, sustainable and flexible
Foundational tools, techniques and practices
To support this we will:
- provide the underpinning network and administrative infrastructure
- facilitate the uptake of good practices and knowledge transfer
- support the development and maintenance of software that is required to deliver the national digital research infrastructure
Progress for the programme
Here are some examples of work happening in the first phase:
- scoping studies to inform the evolution of existing infrastructure, supporting new communities of practice
- the development of a net zero data roadmap
- the launch of the Data and Analytics Research Environments programme (DARE UK), which will inform the next generation of trusted research environments
- assessment of large-scale computing and data infrastructure needs across the breadth of UKRI’s research communities
This work is supported by the independent Advisory Group for Digital Infrastructure which provides advice for the programme and to the UKRI executive.
Further information
Read more about:
- how we are developing capability in data and analytics research environments (DARE UK)
- the opportunities using artificial intelligence
- the research software engineering landscape (ExCALIBUR)
- the UKRI science case for supercomputing (ExCALIBUR)
- data intensive bioscience research (PDF, 4MB)
- the UKRI position on next phase of large scale compute investments
Ask a question about DRI
Email: dri@ukri.org
We aim to respond within two working days.
Last updated: 19 July 2024