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Funding acknowledgments in the Web of Science: completeness and accuracy of collected data

Author

Listed:
  • Belén Álvarez-Bornstein

    (Spanish National Research Council (CSIC)
    Complutense University (UCM))

  • Fernanda Morillo

    (Spanish National Research Council (CSIC))

  • María Bordons

    (Spanish National Research Council (CSIC))

Abstract

The study of acknowledgments as a source of data on research funding is gaining ground in science, as exemplified by the present inclusion of this information in bibliographic databases such as Web of Science (WoS). The objective of this paper is to explore the completeness and accuracy of WoS in extracting and processing funding acknowledgment data. With this purpose, a random sample of articles published in eight thematic areas and selected from the scientific output of Spain in 2014 are analyzed. Funding information that appears in original articles is recorded by WoS in the “funding text” field, but is also extracted to the “funding agency” and “grant number” subfields. In the extraction process, some funding information was lost in 12% of the articles and the distribution of agencies and grant numbers by subfield was not always consistent. In addition, funding support is often incompletely reported by authors: in about half of the articles we studied, the country of origin of the funder or the grant number(s) were not mentioned. We propose and discuss the need to develop more detailed guidelines on how to acknowledge funding. More accurate documentation of funding sources in published articles would benefit researchers, funders and journals, and enhance the reliability and usefulness of studies on funding acknowledgments.

Suggested Citation

  • Belén Álvarez-Bornstein & Fernanda Morillo & María Bordons, 2017. "Funding acknowledgments in the Web of Science: completeness and accuracy of collected data," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1793-1812, September.
  • Handle: RePEc:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2453-4
    DOI: 10.1007/s11192-017-2453-4
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    References listed on IDEAS

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    1. Jue Wang & Philip Shapira, 2011. "Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 563-586, June.
    2. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    3. Françoise Salager-Meyer & María Ángeles Alcaraz-Ariza & Marianela Luzardo Briceño & Georges Jabbour, 2011. "Scholarly gratitude in five geographical contexts: a diachronic and cross-generic approach of the acknowledgment paratext in medical discourse (1950–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 763-784, March.
    4. Blaise Cronin & Gail McKenzie & Lourdes Rubio & Sherrill Weaver‐Wozniak, 1993. "Accounting for influence: Acknowledgments in contemporary sociology," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 44(7), pages 406-412, August.
    5. Elizabeth Koier & Edwin Horlings, 2015. "How accurately does output reflect the nature and design of transdisciplinary research programmes?," Research Evaluation, Oxford University Press, vol. 24(1), pages 37-50.
    6. Xianwen Wang & Di Liu & Kun Ding & Xinran Wang, 2012. "Science funding and research output: a study on 10 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 591-599, May.
    7. John Rigby, 2011. "Systematic grant and funding body acknowledgement data for publications: new dimensions and new controversies for research policy and evaluation," Research Evaluation, Oxford University Press, vol. 20(5), pages 365-375, December.
    8. Li Tang & Guangyuan Hu & Weishu Liu, 2017. "Funding acknowledgment analysis: Queries and caveats," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 790-794, March.
    9. Rodrigo Costas & Thed N. Leeuwen, 2012. "Approaching the “reward triangle”: General analysis of the presence of funding acknowledgments and “peer interactive communication” in scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1647-1661, August.
    10. Adèle Paul-Hus & Nadine Desrochers & Rodrigo Costas, 2016. "Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 167-182, July.
    11. John Rigby, 2013. "Looking for the impact of peer review: does count of funding acknowledgements really predict research impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 57-73, January.
    12. Radmila Lyubarova & Brandon K Itagaki & Michael W Itagaki, 2009. "The Impact of National Institutes of Health Funding on U.S. Cardiovascular Disease Research," PLOS ONE, Public Library of Science, vol. 4(7), pages 1-8, July.
    13. Dangzhi Zhao, 2010. "Characteristics and impact of grant-funded research: a case study of the library and information science field," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 293-306, August.
    14. Fernanda Morillo, 2016. "Public–private interactions reflected through the funding acknowledgements," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1193-1204, September.
    15. Adrián A. Díaz-Faes & María Bordons, 2014. "Acknowledgments in scientific publications: Presence in Spanish science and text patterns across disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1834-1849, September.
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    3. Corsini, Alberto & Pezzoni, Michele, 2023. "Does grant funding foster research impact? Evidence from France," Journal of Informetrics, Elsevier, vol. 17(4).
    4. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
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    7. Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
    8. Alberto Corsini & Michele Pezzoni, 2022. "Does grant funding foster research impact? Evidence from France," SciencePo Working papers Main hal-03912647, HAL.
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    20. Pablo Sánchez-Núñez & Carlos de las Heras-Pedrosa & José Ignacio Peláez, 2020. "Opinion Mining and Sentiment Analysis in Marketing Communications: A Science Mapping Analysis in Web of Science (1998–2018)," Social Sciences, MDPI, vol. 9(3), pages 1-20, February.

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