Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle

William Thorne, Rupert Shepherd, Diana Maynard


Abstract
We present a reconstruction of UKRI’s Gateway to Research (GtR) database that links funding opportunities to their resulting project proposals through panel meeting outcomes. Unlike existing work that focuses primarily on funded projects and their outcomes, we close the complete funding lifecycle by integrating three previously disconnected data sources: the GtR project database, UKRI funding opportunities, and competitive funding decision records across UKRI’s research councils. We describe the technical challenges of data collection, including navigating inconsistent publication formats and restricted access to panel decisions. The resulting dataset enables a holistic interrogation of the entire funding process, from opportunity announcement to research outcomes. We release the database and associated code.
Anthology ID:
2026.nslp-1.9
Volume:
Proceedings of Natural Scientific Language Processing (NSLP) @ LREC 2026
Month:
May
Year:
2026
Address:
Palma, Mallorca (Spain)
Editors:
Georg Rehm, Stefan Dietze, Danilo Dessi, Diana Maynard, Sonja Schimmler
Venues:
NSLP | WS
SIG:
Publisher:
ELRA Language Resources Association (ELRA)
Note:
Pages:
88–96
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-nslp-09
DOI:
10.63317/2dqfnwsvr8as
Bibkey:
Cite (ACL):
William Thorne, Rupert Shepherd, and Diana Maynard. 2026. Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle. In Proceedings of Natural Scientific Language Processing (NSLP) @ LREC 2026, pages 88–96, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):
Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle (Thorne et al., NSLP 2026)
Copy Citation: