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Accuracy of funding information in Scopus: a comparative case study

Author

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  • Weishu Liu

    (Zhejiang University of Finance and Economics)

Abstract

As an emerging bibliographic database, Scopus is increasingly used in academic research and evaluation practice. Compared with Web of Science, its data quality/reliability is still relatively underexplored. By using the author’s twenty-six English papers published during 2014 and 2019, this case study probes the accuracy of funding information in Scopus and shows that the accuracy of funding information collected by Web of Science is better than that of Scopus. Some obvious errors in funding acknowledgement text and funding agency fields still exist in Scopus. Therefore, Scopus needs to optimize the funding acknowledgement text identification method and improve the funding agency extraction and standardization strategy.

Suggested Citation

  • Weishu Liu, 2020. "Accuracy of funding information in Scopus: a comparative case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 803-811, July.
  • Handle: RePEc:spr:scient:v:124:y:2020:i:1:d:10.1007_s11192-020-03458-w
    DOI: 10.1007/s11192-020-03458-w
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    References listed on IDEAS

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    1. Junwen Zhu & Guangyuan Hu & Weishu Liu, 2019. "DOI errors and possible solutions for Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 709-718, February.
    2. 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.
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    4. Fernanda Morillo & Belén Álvarez-Bornstein, 2018. "How to automatically identify major research sponsors selecting keywords from the WoS Funding Agency field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1755-1770, December.
    5. 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.
    6. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    7. Erjia Yan & Chaojiang Wu & Min Song, 2018. "The funding factor: a cross-disciplinary examination of the association between research funding and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 369-384, April.
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    9. Abdullah Gök & John Rigby & Philip Shapira, 2016. "The impact of research funding on scientific outputs: Evidence from six smaller European countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 715-730, March.
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    11. 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.
    12. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "The museum of errors/horrors in Scopus," Journal of Informetrics, Elsevier, vol. 10(1), pages 174-182.
    13. Liu, Weishu & Hu, Guangyuan & Tang, Li, 2018. "Missing author address information in Web of Science—An explorative study," Journal of Informetrics, Elsevier, vol. 12(3), pages 985-997.
    14. 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.
    15. Shuo Xu & Liyuan Hao & Xin An & Dongsheng Zhai & Hongshen Pang, 2019. "Types of DOI errors of cited references in Web of Science with a cleaning method," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1427-1437, September.
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    Cited by:

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    2. Emilio Abad-Segura & Mariana-Daniela González-Zamar & Eloy López-Meneses & Esteban Vázquez-Cano, 2020. "Financial Technology: Review of Trends, Approaches and Management," Mathematics, MDPI, vol. 8(6), pages 1-37, June.
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    6. Badr Moutik & John Summerscales & Jasper Graham-Jones & Richard Pemberton, 2023. "Life Cycle Assessment Research Trends and Implications: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(18), pages 1-45, September.
    7. Yang Liu & Jinyuan Ma & Huanyu Song & Ziniu Qian & Xiao Lin, 2021. "Chinese Universities’ Cross-Border Research Collaboration in the Social Sciences and Its Impact," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    8. Sahar Mohamadi & Abbas Abbasi & Habib-Allah Ranaei Kordshouli & Kazem Askarifar, 2022. "Conceptualizing sustainable–responsible tourism indicators: an interpretive structural modeling approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 399-425, January.
    9. Xiaoling Huang & Lei Wang & Weishu Liu, 2023. "Identification of national research output using Scopus/Web of Science Core Collection: a revisit and further investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2337-2347, April.
    10. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
    11. Manoj Kumar Verma & Daud Khan & Mayank Yuvaraj, 2023. "Scientometric assessment of funded scientometrics and bibliometrics research (2011–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4305-4320, August.
    12. Tavares, Rafael Santos & Angulo-Meza, Lidia & Sant'Anna, Annibal Parracho, 2021. "A proposed multistage evaluation approach for Higher Education Institutions based on network Data envelopment analysis: A Brazilian experience," Evaluation and Program Planning, Elsevier, vol. 89(C).
    13. Hui Li & Weishu Liu, 2020. "Same same but different: self-citations identified through Scopus and Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2723-2732, September.
    14. Marwa Ben Abdallah & Maria Fekete-Farkas & Zoltan Lakner, 2021. "Exploring the Link between Food Security and Food Price Dynamics: A Bibliometric Analysis," Agriculture, MDPI, vol. 11(3), pages 1-19, March.
    15. Weishu Liu & Meiting Huang & Haifeng Wang, 2021. "Same journal but different numbers of published records indexed in Scopus and Web of Science Core Collection: causes, consequences, and solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4541-4550, May.
    16. Tanja Mihalic & Sahar Mohamadi & Abbas Abbasi & Lóránt Dénes Dávid, 2021. "Mapping a Sustainable and Responsible Tourism Paradigm: A Bibliometric and Citation Network Analysis," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    17. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.

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