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Use of dissertation data in science policy research

Morichika, Noriyuki and Shibayama, Sotaro LU (2016) In Scientometrics 108(1). p.221-241
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... (More)

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.

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Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
academic research, academic training, dissertation, funding, higher education, inequality, Ph.D. training, science policy, STEM
in
Scientometrics
volume
108
issue
1
pages
21 pages
publisher
Akademiai Kiado
external identifiers
  • scopus:84966713760
ISSN
0138-9130
DOI
10.1007/s11192-016-1962-x
language
English
LU publication?
no
id
ea43e88c-1931-4ef2-a882-5c047459172f
date added to LUP
2017-04-13 17:50:26
date last changed
2017-10-22 05:29:22
@article{ea43e88c-1931-4ef2-a882-5c047459172f,
  abstract     = {<p>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.</p>},
  author       = {Morichika, Noriyuki and Shibayama, Sotaro},
  issn         = {0138-9130},
  keyword      = {academic research,academic training,dissertation,funding,higher education,inequality,Ph.D. training,science policy,STEM},
  language     = {eng},
  month        = {07},
  number       = {1},
  pages        = {221--241},
  publisher    = {Akademiai Kiado},
  series       = {Scientometrics},
  title        = {Use of dissertation data in science policy research},
  url          = {http://dx.doi.org/10.1007/s11192-016-1962-x},
  volume       = {108},
  year         = {2016},
}