ADR UK Academic Lead 2026 to 2031: Better Economic Data (Closed Call)

The ADR UK Academic Lead 2026 to 2031: Better Economic Data (HMRC/DWP) opportunity is closed. This page is a historical reference for the completed call, not a live route to funding. The official UK Research and Innovation (UKRI) Funding Finder records the opportunity as closed, with a closing date of 21 May 2026 at 4:00pm UK time. It does not announce a replacement round on the official page reviewed for this update, so there is no verified future deadline to publish.

The call was funded by the Economic and Social Research Council (ESRC) as part of the next phase of Administrative Data Research UK (ADR UK). It sought one academic team to work with the Department for Work and Pensions (DWP), His Majesty’s Revenue and Customs (HMRC), and ADR UK on better economic data. The selected team was expected to support the RAPID linked dataset, provide academic leadership for a new Linked Employee-Employer Dataset (LEED), and help establish a public representative panel for both areas.

The award was substantial, but the work was equally specific. The project’s full economic cost could be up to £2,000,000, with ESRC funding 80% of the full economic cost. The official duration required projects to start by 5 October 2026 and conclude on 31 March 2031. Those dates describe the closed 2026 to 2031 cycle and should not be read as an open application window.

At a Glance

What the closed call was designed to deliver

ADR UK’s next investment phase was described as running from April 2026 to March 2031. The economic-data call formed part of that wider programme. It was not a general invitation to propose any project involving tax, employment, or welfare data. Applications had to address all three work packages in the opportunity, and the work had to fit ADR UK’s approach to secure, de-identified, population-level linked or linkable administrative data for public-good research.

The first work package concerned RAPID, the new linked dataset covering population interactions with employment, including self-employment, benefits, and pensions. The official description says RAPID is not linked to business tax returns, but it can help researchers understand journeys and interactions across employment, self-employment, benefit accrual, and benefit receipt. The academic lead’s role was to make that resource more usable rather than simply produce a separate set of papers.

For RAPID, the successful team was expected to provide training and user support, advise data owners on improvements that would increase research value within the five safes framework, build an active community of researchers, and expand policy-relevant use. The call also identified a possible inward secondment to DWP, allowing the successful team to become expert users of RAPID and support practical discussions about future development.

The second work package concerned LEED, a proposed Linked Employee-Employer Dataset for the UK. ADR UK, DWP, HMRC, and ONS wanted to explore linkages from whole-population administrative sources, including self-assessment information for self-employed people and business tax account information. The purpose was to improve the evidence base on employers, employees, enterprise sectors, and economic outcomes beyond the smaller samples represented by some existing surveys and linked datasets.

The official call was careful about the limits of administrative data. Wider coverage does not automatically mean greater depth, because administrative systems contain the information needed for their operational purposes rather than every variable a researcher might want. Applicants were therefore expected to explain how a new LEED would complement existing survey and flagship datasets. They also had to consider data quality, linkage quality, de-identification, disclosure control, legal requirements, and the practical constraints of making data available through accredited Trusted Research Environments (TREs).

The third work package was public engagement. The grant holder was expected to support ADR UK and the data owners in setting up and running a public representative panel for RAPID and LEED. The proposed panel would include experts from outside academia and government who could represent relevant demographic perspectives, including groups such as disability rights organisations and trade unions. Its role was advisory, with a feedback loop into dataset development, research questions, communications, and outputs.

The call gave concrete examples of where the panel could contribute: checking whether public language was appropriate, identifying concerns experienced by particular groups, co-developing recommendations or short reports, and helping non-profit organisations engage with evidence used by policymakers. ADR UK’s Public Engagement Programme would provide support for recruitment and facilitation and would remunerate panel members for their time where applicable. That arrangement made public engagement part of delivery, not a final communications exercise added after the technical work.

Expected milestones and outputs

The LEED work had an unusually detailed delivery expectation. By March 2027, the grant holder was expected to provide ADR UK, DWP, HMRC, and ONS with a report covering the advantages, disadvantages, cost implications, and legal issues associated with possible starting points for the dataset. The report also had to set out a consensus view on the route towards a new flagship dataset for wider research use, while considering how it would complement existing resources.

The team would then work with data owners and ONS Secure Research Service teams on the design and delivery of the agreed flagship dataset. The ambition was for at least some linked LEED data to be available for research early in year 2, April 2027 to March 2028, followed by additional linked or linkable LEED data for the UK early in year 4, April 2029 to March 2031. The opportunity allowed for an iterative approach, such as making additional linkable datasets available over time to fill known gaps.

Once the dataset was constructed, the academic lead would be expected to provide training, user support, a comprehensive user guide, and a data dictionary developed with the data owners. The team also had to help researchers understand how LEED could support public-good research, grow an engaged user community, demonstrate policy-relevant value across all four UK countries, and advise on later enhancements.

Who was eligible

The opportunity was open to organisations with standard UKRI eligibility. The headline eligibility requirement was that applicants be based at a UK research organisation eligible for ESRC funding. Project co-leads who were international were listed as ineligible, and the page noted that ADR UK flagship data could only be accessed from within the UK.

The scope meant that a convincing team needed more than an interesting research question. Relevant strengths included experience with administrative or linked data, economics or social policy, employment and benefits, data governance, secure research environments, researcher training, public engagement, and delivery across institutional boundaries. The proposal needed to show how those skills would work together over the full award period.

The call was also designed around public trust. ADR UK’s wider objectives included increasing the availability of data for research, improving researcher access and support, protecting privacy, and communicating public benefit. A team that could explain linkage, de-identification, access controls, and social value clearly would have been better aligned than one that presented data infrastructure as a purely technical exercise.

Original application process

Applications for this cycle were to be made through the new UKRI Funding Service, not the Joint Electronic Submissions (Je-S) system. The project lead was responsible for completing the application, while all team members were expected to contribute. Only the lead research organisation could submit the completed application.

The official instructions required the project lead to select Start application, confirm their role, sign in or create a Funding Service account, select the organisation, verify the email address, and answer the questions in the online form. Applicants could save their work, return to it, and upload documents where instructed. Before submission, the lead had to check the application in read-only view and send it to the research office. The research office would check and return it if edits were needed, then submit the checked application to UKRI.

The proposal needed to cover the full term of the grant and all three work packages. It also needed a detailed workplan and evidence that the team could carry out the role. Resources and cost justification had a 1,000-word limit in the published guidance, with particular attention to staff, significant travel, expensive equipment, facilities, infrastructure, exceptional costs, public engagement, impact, and responsible innovation. Applicants were told to consult their research office about costings, hosting arrangements, and financial eligibility.

The official page also listed supporting documents: the ADR UK Flagship Dataset Framework and the ADR UK Academic Lead Role & Responsibilities annex. Questions about the specific opportunity were directed to hub@adruk.org, while technical Funding Service queries were directed to the UKRI helpdesk. Those contacts and instructions belong to the closed cycle; readers should confirm any replacement arrangements if UKRI or ADR UK publishes a new call.

What applicants could learn from the call

The opportunity rewarded a service-oriented leadership model. The academic lead was not being funded simply to pursue an individual research agenda. The central task was to help researchers use flagship data responsibly, represent user needs to data owners, improve the researcher journey, and make datasets useful for policy-relevant work.

It also required a realistic view of government data partnerships. Building or improving a dataset involves legal agreements, disclosure concerns, linkage decisions, de-identification, secure access, documentation, support, and ongoing communication. The official requirements around TRE access and data-owner collaboration made clear that technical construction was only one part of delivery.

Finally, the public panel requirement showed that trust was part of the programme’s infrastructure. Public representatives were intended to influence language, research priorities, and outputs at meaningful points. Any future call with a similar purpose would likely benefit from treating that relationship as a continuing governance activity, with defined audiences, responsibilities, feedback routes, and resources.

Historical status

The UKRI page reviewed for this update records the opportunity as Closed. Its timeline lists the opening date as 30 March 2026 at 9:00am UK time, the closing date as 21 May 2026 at 4:00pm UK time, and applicant interviews for shortlisted applicants on 6 July 2026. No next application cycle is announced on that page. The front matter therefore retains the real closing date and marks this entry with historicalReference = true rather than inventing a new deadline or describing the call as rolling.

This archive entry is still useful for researchers, research offices, and data teams planning for comparable ADR UK or ESRC opportunities. It preserves the verified funding scale, eligibility rules, delivery expectations, dataset concepts, public-engagement model, and application route. It should not be used as evidence that applications remain open.

Official source

Read the official UKRI opportunity page for the authoritative record, including the closed status, published documents, updates, and contact details. If ADR UK or ESRC announces a new economic-data academic lead call, it should be treated as a separate cycle and verified independently before this page is changed again.