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Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR

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Abstract

A series of techniques based on bibliometric clustering and mapping for scientometrics analysis was implemented in a software toolkit called CATAR for free use. Application of the toolkit to the field of library and information science (LIS) based on journal clustering for subfield identification and analysis to suggest a proper set of LIS journals for research evaluation is described. Two sets of data from Web of Science in the Information Science & Library Science (IS&LS) subject category of Journal Citation Reports were analyzed: one ranges from year 2000 to 2004, the other from 2005 to 2009. The clustering results in graphic dendrograms and multi-dimensional scaling maps from both datasets consistently show that some IS&LS journals clustered in the management information systems subfield are distant from the other journals in terms of their intellectual base. Additionally, the cluster characteristics analyzed based on a diversity index reveals the regional characteristics for some identified subfields. Since journal classification has become a high-stake issue that affects the evaluation of scholars and universities in some East Asian countries, both cases (isolation in intellectual base and regionalism in national interest) should be taken into consideration when developing research evaluation in LIS based on journal classification and ranking for the evaluation to be fairly implemented without biasing future LIS research.

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Notes

  1. As noted on the Wikipedia web site, there is no generally agreed-upon distinction between the terms “library science” (LS) and “library and information science” (LIS) and to a certain extent they are interchangeable, with the later (LIS) being most often used.

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Acknowledgments

This work is supported in part by the “Aim for the Top University Project” of National Taiwan Normal University (NTNU) sponsored by the Ministry of Education, Taiwan, ROC. This work is also supported in part by the National Science Council (NSC) of Taiwan under the Grant NSC 100-2511-S-003-053-MY2. We are grateful to the anonymous reviewers for their valuable comments and suggestions.

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  1. Information Technology Center, National Taiwan Normal University, Taipei, Taiwan

    Yuen-Hsien Tseng

  2. Graduate Institute of Library, Information and Archival Studies, National Chengchi University, Taipei, Taiwan

    Ming-Yueh Tsay

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Tseng, YH., Tsay, MY. Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR. Scientometrics 95, 503–528 (2013). https://doi.org/10.1007/s11192-013-0964-1

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