Use of dissertation data in science policy research

Noriyuki Morichika and Sotaro Shibayama ()
Additional contact information
Noriyuki Morichika: University of Tokyo
Sotaro Shibayama: University of Tokyo

Scientometrics, 2016, vol. 108, issue 1, No 11, 241 pages

Abstract: 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.

Keywords: Ph.D. training; Dissertation; Science policy; Academic training; Higher education; Academic research; Inequality; Funding; STEM (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-1962-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1962-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-016-1962-x

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().