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Use of dissertation data in science policy research

Author

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  • Noriyuki Morichika

    (University of Tokyo)

  • Sotaro Shibayama

    (University of Tokyo
    University of Tokyo)

Abstract

Although the contribution of scientometric literature to policies on academic science has been substantial, the literature has focused primarily on the production of scientific knowledge, whereas limited attention has been paid to the other critical mission of academic institutions, i.e., education or the production of scientists. To address this limitation and better inform policymakers, the current study proposes a new approach drawing on Ph.D. dissertation data, which we believe should open up a new avenue of scientometric research. Integrating dissertation data with more traditional types of scientometric data such as publications and careers, this study presents a case study of the Japanese science system investigating its transition since the 1970s.

Suggested Citation

  • Noriyuki Morichika & Sotaro Shibayama, 2016. "Use of dissertation data in science policy research," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 221-241, July.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1962-x
    DOI: 10.1007/s11192-016-1962-x
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    Cited by:

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    5. Sung Kim & Derek Hansen & Richard Helps, 2018. "Computing research in the academy: insights from theses and dissertations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 135-158, January.
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    8. Gauffriau, Marianne, 2017. "A categorization of arguments for counting methods for publication and citation indicators," Journal of Informetrics, Elsevier, vol. 11(3), pages 672-684.

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