Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations
Open accessAbstract
This article contributes to the development of methods for analysing research funding systems by exploring the robustness and comparability of emerging approaches to generate funding landscapes useful for policy making. We use a novel data set of manually extracted and coded data on the funding acknowledgements of 7,510 publications representing UK cancer research in the year 2011 and compare these “reference data” with funding data provided by Web of Science (WoS) and MEDLINE/PubMed. Findings show high recall (around 93%) of WoS funding data. By contrast, MEDLINE/PubMed data retrieved less than half of the UK cancer publications acknowledging at least one funder. Conversely, both databases have high precision (+90%): That is, few cases of publications with no acknowledgment to funders are identified as having funding data. Nonetheless, funders acknowledged in UK cancer publications were not correctly listed by MEDLINE/PubMed and WoS in around 75% and 32% of the cases, respectively. Reference data on the UK cancer research funding system are used as a case study to demonstrate the utility of funding data for strategic intelligence applications (e.g., mapping of funding landscape and co‐funding activity, comparison of funders' research portfolios).
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WoS missed at least one funder in about 11% of records.
“WoS was shown to have missed at least one funder in about 11% of the records”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [75]
In about 22% of funded publications, WoS included at least one additional funder.
“in about 22% of funded publications, at least one additional funder was included by WoS”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [75]
These FI errors in WoS were more frequent in less popular publication types such as letters, editorials, and conference papers.
“these errors were more frequent in less popular publication types, such as letters, editorials, and conference papers”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [75]
In WoS, funders acknowledged in a publication were listed incorrectly in approximately 32% of cases.
“the funders acknowledged in a publication were shown to be listed incorrectly in approximately 32% of the cases in WoS”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [75]
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Андреевич, С. И., Savina, T. F., & Chichkova, A. O. (2020) · Научно- техническая информация Серия 1 Организация и методика информационной работы · doi:10.36535/0548-0019-2020-02-2 · Cited by 1 · see citing works
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Brodnik, C., & Dinges, M. (2022) · Fondo Editorial FCSH eBooks · doi:10.17533/978-628-7592-15-5_1 · Cited by 1 · see citing works
6. Transformation and Enhancement of Climate Change Policy Indicators
Berjawi, A. E. H., Burnett, A., Martinez‐Lozada, A. C., Bergek, A., Haddad, C. R., Patsios, C., Brodnik, C., Torres, C., Torres, E., Mey, F., et al. (2022) · Fondo Editorial FCSH eBooks · doi:10.17533/978-628-7592-15-5_6
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Berjawi, A. E. H., Burnett, A., Martinez‐Lozada, A. C., Bergek, A., Haddad, C. R., Patsios, C., Brodnik, C., Torres, C., Torres, E., Mey, F., et al. (2022) · Fondo Editorial FCSH eBooks · doi:10.17533/978-628-7592-15-5_7
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Kosch, O., McKinley, J., Szarucki, M., Bugaj, J. M., & Rybkowski, R. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7478671
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- Authors
- Grassano, N., Rotolo, D., Hutton, J., Lang, F., & Hopkins, M. M.
- Affiliations
- University of Sussex (GB)
- Corresponding author
- Grassano, Nicola
- Rotolo, Daniele
- Hutton, Joshua
- Lang, Frédérique
- Hopkins, Michael M.
- Venue
- Journal of the Association for Information Science and Technology
- Publisher
- Wiley
- Published
- 2016-11-22
- Volume
- 68
- Issue
- 4
- Pages
- 999-1017
- ISSN
- 2330-1635 (ISSN-L)
- 2330-1643
- OpenAlex
- W2339577892
- Cited by
- 75
- References
- 52
- Citations by year
- 2026: 9 · 2025: 7 · 2024: 8 · 2023: 4 · 2022: 15 · 2021: 5 · 2020: 9 · 2019: 9 · 2018: 1 · 2017: 8
- FWCI
- 5.60
- Type
- journal article
- Language
- en
- Open access
- green
- sro.sussex.ac.uk
- Licence
- Locations
- Journal of the Association for Information Science and Technology (publishedVersion)
- Sussex Research Online (University of Sussex) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Cancer Research UK
- Economic and Social Research Council (RES‐360‐25‐0076)
- Higher Education Funding Council for England
- University of Sussex
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Business, Management and Accounting › Management Information Systems › Optics and Image Analysis
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- research funding, funding acknowledgment, bibliographic metadata, Web of Science, cancer research funding, research funding system, strategic intelligence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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