Use of Dissertation Data in Science Policy Research

Scientometrics, Forthcoming

32 Pages Posted: 23 Apr 2016

See all articles by Noriyuki Morichika

Noriyuki Morichika

University of Tokyo - Department of Technology Management for Innovation

Sotaro Shibayama

Lund University - Department of Business Administration; University of Tokyo

Date Written: April 21, 2016

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 PhD 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.

Keywords: PhD training; dissertation; science policy; academic training; higher education; academic research; inequality; funding; STEM

Suggested Citation

Morichika, Noriyuki and Shibayama, Sotaro, Use of Dissertation Data in Science Policy Research (April 21, 2016). Scientometrics, Forthcoming. Available at SSRN: https://ssrn.com/abstract=2768147

Noriyuki Morichika

University of Tokyo - Department of Technology Management for Innovation ( email )

Tokyo
Japan

Sotaro Shibayama (Contact Author)

Lund University - Department of Business Administration ( email )

Box 117
SE-221 00 Lund, S-220 07
Sweden

University of Tokyo ( email )

Hongo 7-3-1
Bunkyo-ku
Tokyo, Tokyo 113-8656
Japan

HOME PAGE: http://sotaroshibayama.weebly.com/

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