@inproceedings{thorne-etal-2026-demystifying,
title = "Demystifying Funding: Reconstructing a Unified Dataset of the {UK} Funding Lifecycle",
author = "Thorne, William and
Shepherd, Rupert and
Maynard, Diana",
editor = "Rehm, Georg and
Dietze, Stefan and
Dessi, Danilo and
Maynard, Diana and
Schimmler, Sonja",
booktitle = "Proceedings of Natural Scientific Language Processing ({NSLP}) @ {LREC} 2026",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.nslp-1.9/",
doi = "10.63317/2dqfnwsvr8as",
pages = "88--96",
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."
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<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.</abstract>
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%0 Conference Proceedings
%T Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle
%A Thorne, William
%A Shepherd, Rupert
%A Maynard, Diana
%Y Rehm, Georg
%Y Dietze, Stefan
%Y Dessi, Danilo
%Y Maynard, Diana
%Y Schimmler, Sonja
%S Proceedings of Natural Scientific Language Processing (NSLP) @ LREC 2026
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F thorne-etal-2026-demystifying
%X 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.
%R 10.63317/2dqfnwsvr8as
%U https://aclanthology.org/2026.nslp-1.9/
%U https://doi.org/10.63317/2dqfnwsvr8as
%P 88-96
Markdown (Informal)
[Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle](https://aclanthology.org/2026.nslp-1.9/) (Thorne et al., NSLP 2026)
ACL