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Errors in DOI indexing by bibliometric databases

Author

Listed:
  • Fiorenzo Franceschini

    (Politecnico di Torino)

  • Domenico Maisano

    (Politecnico di Torino)

  • Luca Mastrogiacomo

    (Politecnico di Torino)

Abstract

DOI—i.e., Digital Object Identifier—is a character string, which univocally identifies entities that are object of intellectual property. In bibliometrics, DOIs are used for univocally identifying scientific papers. The aim of this short communication is to raise the reader’s awareness of bibliometric database errors in DOI indexing, in particular, the incorrect assignment of a single DOI to multiple papers. This error is quite interesting since DOI is commonly regarded as an effective means to identify scientific articles unambiguously. For the purpose of example, a short list of DOIs, which have been wrongly assigned by the Scopus database to multiple papers, is shown. Although being relatively rare, DOI indexing errors should be considered by bibliometricians when querying bibliometric databases by DOI.

Suggested Citation

  • Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2015. "Errors in DOI indexing by bibliometric databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2181-2186, March.
    • Handle: RePEc:spr:scient:v:102:y:2015:i:3:d:10.1007_s11192-014-1503-4
    DOI: 10.1007/s11192-014-1503-4
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    References listed on IDEAS

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    1. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2013. "The effect of database dirty data on h-index calculation," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1179-1188, June.
    2. Peter Jacso, 2012. "Grim tales about the impact factor and the h-index in the Web of Science and the Journal Citation Reports databases: reflections on Vanclay’s criticism," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 325-354, August.
    3. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2014. "Scientific journal publishers and omitted citations in bibliometric databases: Any relationship?," Journal of Informetrics, Elsevier, vol. 8(3), pages 751-765.
    4. David Adam, 2002. "The counting house," Nature, Nature, vol. 415(6873), pages 726-729, February.
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    Citations

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    Cited by:

    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. Igor Savchenko & Denis Kosyakov, 2022. "Lost in affiliation: apatride publications in international databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3471-3487, June.
    3. Aida Pooladian & Ángel Borrego, 2017. "Methodological issues in measuring citations in Wikipedia: a case study in Library and Information Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 455-464, October.
    4. Thelwall, Mike, 2018. "Microsoft Academic automatic document searches: Accuracy for journal articles and suitability for citation analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 1-9.
    5. Paul Donner, 2017. "Document type assignment accuracy in the journal citation index data of Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 219-236, October.
    6. Alessia Cioffi & Sara Coppini & Arcangelo Massari & Arianna Moretti & Silvio Peroni & Cristian Santini & Nooshin Shahidzadeh Asadi, 2022. "Identifying and correcting invalid citations due to DOI errors in Crossref data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3593-3612, June.
    7. 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.
    8. Shirley Ainsworth & Jane M. Russell, 2018. "Has hosting on science direct improved the visibility of Latin American scholarly journals? A preliminary analysis of data quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1463-1484, June.
    9. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "Empirical analysis and classification of database errors in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 10(4), pages 933-953.
    10. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    11. 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.
    12. Mike Thelwall, 2017. "Are Mendeley reader counts useful impact indicators in all fields?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1721-1731, December.
    13. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2015. "Influence of omitted citations on the bibliometric statistics of the major Manufacturing journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1083-1122, June.
    14. Junwen Zhu & Fang Liu & Weishu Liu, 2019. "The secrets behind Web of Science’s DOI search," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1745-1753, June.

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