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Data matching, integration, and interoperability for a metric assessment of monographs

Author

Listed:
  • Alesia Zuccala

    (University of Copenhagen)

  • Roberto Cornacchia

    (Spinque)

Abstract

This paper details a unique data experiment carried out at the University of Amsterdam, Center for Digital Humanities. Data pertaining to monographs were collected from three autonomous resources, the Scopus Journal Index, WorldCat.org and Goodreads, and linked according to unique identifiers in a new Microsoft SQL database. The purpose of the experiment was to investigate co-varied metrics for a list of book titles based on their citation impact (from Scopus), presence in international libraries (WorldCat.org) and visibility as publically reviewed items (Goodreads). The results of our data experiment highlighted current problems related citation indices and the way that books are recorded by different citing authors. Our research further demonstrates the primary problem of matching book titles as ‘cited objects’ with book titles held in a union library catalog, given that books are always recorded distinctly in libraries if published as separate editions with different International Standard Book Numbers (ISBNs). Due to various ‘matching’ problems related to the ISBN, we suggest a new type of identifier, a ‘Book Object Identifier’, which would allow bibliometricians to recognize a book published in multiple formats and editions as ‘one object’ suitable for evaluation. The BOI standard would be most useful for books published in the same language, and would more easily support the integration of data from different types of book indexes.

Suggested Citation

  • Alesia Zuccala & Roberto Cornacchia, 2016. "Data matching, integration, and interoperability for a metric assessment of monographs," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 465-484, July.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1911-8
    DOI: 10.1007/s11192-016-1911-8
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    References listed on IDEAS

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    Cited by:

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    3. Daniel Torres-Salinas & Nicolás Robinson-Garcia & Juan Gorraiz, 2017. "Filling the citation gap: measuring the multidimensional impact of the academic book at institutional level with PlumX," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1371-1384, December.
    4. Zhou, Qingqing & Zhang, Chengzhi, 2021. "Impacts towards a comprehensive assessment of the book impact by integrating multiple evaluation sources," Journal of Informetrics, Elsevier, vol. 15(3).
    5. Gineke Wiggers & Suzan Verberne & Wouter van Loon & Gerrit‐Jan Zwenne, 2023. "Bibliometric‐enhanced legal information retrieval: Combining usage and citations as flavors of impact relevance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(8), pages 1010-1025, August.
    6. Maja Jokić & Andrea Mervar & Stjepan Mateljan, 2019. "Comparative analysis of book citations in social science journals by Central and Eastern European authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1005-1029, September.
    7. Andrea Bonaccorsi & Cinzia Daraio & Stefano Fantoni & Viola Folli & Marco Leonetti & Giancarlo Ruocco, 2017. "Do social sciences and humanities behave like life and hard sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 607-653, July.

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