Published February 12, 2026
| Version v1
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UKRN Working Paper 9: UKRN Open Research Indicators: Final Report
Authors/Creators
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Jacobs, Neil
(Project leader)1
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Williamson, Laurian
(Project member)
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Vines, Timothy
(Project member)2
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Vignola-Gagné, Etienne
(Project member)3
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Tibbs, Christopher T.
(Project member)
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Taggart, Angus
(Project member)
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Sheppard, Nick
(Project member)4
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Roesch, Etienne
(Project member)5
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Pispiringas, Leonidas
(Project member)6
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Pajor, Radoslaw
(Project member)
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O'Connor, Daryl
(Project member)4
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Newton, Jonathon Timothy
(Project member)7
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Miller, Kerry
(Project member)8
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Merrett, Kirsty
(Project member)
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McCutcheon, Valerie
(Project member)9
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Hrynaszkiewicz, Iain
(Project member)
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Howarth, Alice
(Project member)10
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Hall, Phillip
(Project member)
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Groothuizen, Johanna
(Project member)
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Godsall, Jade
(Project member)
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Gambelli, Lavinia
(Project member)
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Eadie, Mick
(Project member)9
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Donaldson, Mary9
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Dimitropoulos, Harry
(Project member)11
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de Waard, Anita
(Project member)
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Dalton, Sally
(Project member)4
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Currie, Gillian
(Project member)8
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Boll, Amanda
(Project member)
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Barnett, Nicola
(Project member)12, 4
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Arthur, Alastair
(Project member)9
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Adie, Euan
(Project member)13
- 1. UK Reproducibility Network
- 2. DataSeer
- 3. Science-Metrix / Elsevier Research analytics and data services
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4.
University of Leeds
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5.
University of Reading
- 6. OpenAIRE
- 7. King's College London
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8.
University of Edinburgh
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9.
University of Glasgow
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10.
University of Liverpool
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11.
Athena Research and Innovation Center In Information Communication & Knowledge Technologies
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12.
Leeds Trinity University
- 13. Overton.io
Description
This working paper reports on six pilot projects conducted as part of the UK Reproducibility Network’s Open Research Programme (ORP) to explore the feasibility of developing automated indicators for monitoring open research practices across UK universities. The pilots examined data quality, metadata standards, and automated extraction methods across six areas: FAIR data, open data, data availability statements, downstream effects of data sharing, pre-registration, and the use of the CRediT taxonomy. The findings highlight areas of promise, particularly pre-registration and elements of FAIRness, while also identifying major challenges related to inconsistent metadata, terminology, and workflows. The report outlines key recommendations for improving interoperability, enhancing data standards, and supporting the responsible development of future monitoring infrastructure.
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Additional details
Funding
- Research England
Dates
- Issued
-
2026-02-12Working Paper 9: final report