IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v129y2024i3d10.1007_s11192-024-04944-1.html
   My bibliography  Save this article

Is ORCID a reliable source for CV analysis? Exploring the data availability of ORCID academic profiles

Author

Listed:
  • Tiange Wang

    (Nanjing Agricultural University)

  • Zixuan Li

    (Nanjing Agricultural University)

  • Shan Huang

    (Nanjing Agricultural University)

  • Bo Yang

    (Nanjing Agricultural University)

Abstract

With the rapid adoption of ORCID in academia, the number of ORCID users has been growing significantly and more informetricians are recognizing the research value of ORCID profiles. However, the reliability of the conclusions in studies based on ORCID profiles is undermined by data quality issues, such as missing items, insufficient coverage of publications, unnormalized institution names, and duplicated registration. To facilitate efficient application of ORCID profiles in informetric research and possibly inspire new improvements to ORCID profile use strategies, this study investigates ORCID data availability on a large scale. The statistical results demonstrate that, due to very limited data verification functions and weak awareness at the users’ end to update their profiles regularly, most ORCID profiles have missing, inaccurate, or outdated information about education or work experience. It is suggested that a well-designed data collection strategy is necessary for informetrics studies to obtain samples with relatively complete and regularly updated profiles. Moreover, introducing more external data resources as essential supplements, especially those from publication databases, would help to improve the data quality of ORCID profiles, so as to draw better portraits of academic researchers around the world.

Suggested Citation

  • Tiange Wang & Zixuan Li & Shan Huang & Bo Yang, 2024. "Is ORCID a reliable source for CV analysis? Exploring the data availability of ORCID academic profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1637-1662, March.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:3:d:10.1007_s11192-024-04944-1
    DOI: 10.1007/s11192-024-04944-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-024-04944-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-024-04944-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Valeria Aman, 2018. "Does the Scopus author ID suffice to track scientific international mobility? A case study based on Leibniz laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 705-720, November.
    2. Sixto-Costoya Andrea & Robinson-Garcia Nicolas & Leeuwen Thed & Costas Rodrigo, 2021. "Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7149-7165, August.
    3. Jan Youtie & Stephen Carley & Alan L. Porter & Philip Shapira, 2017. "Tracking researchers and their outputs: new insights from ORCIDs," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 437-453, October.
    4. Gomez, Charles J. & Herman, Andrew C. & Parigi, Paolo, 2020. "Moving more, but closer: Mapping the growing regionalization of global scientific mobility using ORCID," Journal of Informetrics, Elsevier, vol. 14(3).
    5. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
    6. Christophe Boudry & Manuel Durand-Barthez, 2020. "Use of author identifier services (ORCID, ResearcherID) and academic social networks (Academia.edu, ResearchGate) by the researchers of the University of Caen Normandy (France): A case study," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    7. Cassidy R. Sugimoto & Nicolas Robinson-Garcia & Dakota S. Murray & Alfredo Yegros-Yegros & Rodrigo Costas & Vincent Larivière, 2017. "Scientists have most impact when they're free to move," Nature, Nature, vol. 550(7674), pages 29-31, October.
    8. Carolina Cañibano & Barry Bozeman, 2009. "Curriculum vitae method in science policy and research evaluation: the state-of-the-art," Research Evaluation, Oxford University Press, vol. 18(2), pages 86-94, June.
    9. Josh Brown & Tom Demeranville & Alice Meadows, 2016. "Open Access in Context: Connecting Authors, Publications and Workflows Using ORCID Identifiers," Publications, MDPI, vol. 4(4), pages 1-8, September.
    10. Cassidy R. Sugimoto & Thomas J. Sugimoto & Andrew Tsou & Staša Milojević & Vincent Larivière, 2016. "Age stratification and cohort effects in scholarly communication: a study of social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 997-1016, November.
    11. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sixto-Costoya Andrea & Robinson-Garcia Nicolas & Leeuwen Thed & Costas Rodrigo, 2021. "Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7149-7165, August.
    2. Chang, Ying-Han & Huang, Mu-Hsuan, 2023. "Analysis of factors affecting scientific migration move and distance by academic age, migrant type, and country: Migrant researchers in the field of business and management," Journal of Informetrics, Elsevier, vol. 17(1).
    3. Han, Fang & Zhang, Ruhao & Zhang, Shengtai & Yuan, Junpeng, 2024. "International mobility characteristics, effects of, and effects on elite scientists," Journal of Informetrics, Elsevier, vol. 18(1).
    4. Li Hou & Qiang Wu & Yundong Xie, 2022. "Does early publishing in top journals really predict long-term scientific success in the business field?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6083-6107, November.
    5. Christophe Boudry & Manuel Durand-Barthez, 2020. "Use of author identifier services (ORCID, ResearcherID) and academic social networks (Academia.edu, ResearchGate) by the researchers of the University of Caen Normandy (France): A case study," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    6. Aliakbar Akbaritabar & Andrés Felipe Castro Torres & Vincent Larivière, 2024. "A global perspective on social stratification in science," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    7. Christophe Boudry, 2021. "Availability of ORCIDs in publications archived in PubMed, MEDLINE, and Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3355-3371, April.
    8. Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
    9. Yu-Wei Chang, 2023. "Comparison of the application of curricula vitae and bibliometric analyses for tracing long-term and temporary scientific mobility," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(12), pages 6509-6526, December.
    10. Liu, Meijun & Hu, Xiao, 2022. "Movers’ advantages: The effect of mobility on scientists’ productivity and collaboration," Journal of Informetrics, Elsevier, vol. 16(3).
    11. Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.
    12. Momeni, Fakhri & Karimi, Fariba & Mayr, Philipp & Peters, Isabella & Dietze, Stefan, 2022. "The many facets of academic mobility and its impact on scholars' career," Journal of Informetrics, Elsevier, vol. 16(2).
    13. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    14. Lu, Wei & Ren, Yan & Huang, Yong & Bu, Yi & Zhang, Yuehan, 2021. "Scientific collaboration and career stages: An ego-centric perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    15. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    16. Mike Thelwall, 2020. "Mid-career field switches reduce gender disparities in academic publishing," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1365-1383, June.
    17. Zheng Yan & Wenqian Robertson & Yaosheng Lou & Tom W. Robertson & Sung Yong Park, 2021. "Finding leading scholars in mobile phone behavior: a mixed-method analysis of an emerging interdisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9499-9517, December.
    18. Zhenbin Yan & Qiang Wu & Xingchen Li, 2016. "Do Hirsch-type indices behave the same in assessing single publications? An empirical study of 29 bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1815-1833, December.
    19. Landström, Hans & Harirchi, Gouya & Åström, Fredrik, 2012. "Entrepreneurship: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1154-1181.
    20. Li, Ping & Wang, Yujing & Li, Meng & Gao, Haoyu, 2024. "The power of speed: High-speed railways and scientific research competitiveness in China," Journal of Asian Economics, Elsevier, vol. 95(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:129:y:2024:i:3:d:10.1007_s11192-024-04944-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.