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How to use indicators to measure scientific performance : A balanced approach

Schmoch, Ulrich; Schubert, Torben LU ; Jansen, Dorothea; Heidler, Richard and von Görtz, Regina (2010) In Research Evaluation 19(1). p.2-18
Abstract

Scientific performance should not be measured by a one-dimensional metric such as publication, since it is a multi-dimensional phenomenon. A quantitative analysis of the activities of research groups in three scientific fields demonstrates in particular the importance of sufficient numbers of PhD graduates and of contributions to the infrastructure of the scientific community, in terms of editorships or memberships of boards, etc. The results of a quantitative analysis are largely confirmed by a parallel qualitative investigation; however, both approaches complement each other by highlighting different aspects. For example, the qualitative approach conveys explicitly the demand structure for intermediary and final outputs in the... (More)

Scientific performance should not be measured by a one-dimensional metric such as publication, since it is a multi-dimensional phenomenon. A quantitative analysis of the activities of research groups in three scientific fields demonstrates in particular the importance of sufficient numbers of PhD graduates and of contributions to the infrastructure of the scientific community, in terms of editorships or memberships of boards, etc. The results of a quantitative analysis are largely confirmed by a parallel qualitative investigation; however, both approaches complement each other by highlighting different aspects. For example, the qualitative approach conveys explicitly the demand structure for intermediary and final outputs in the qualitative approach that interlinks the activities of different research units. The results show that it is important for science policy to set appropriate incentives for all dimensions of scientific activities, i.e. not publication output exclusively, as this entails considerable hazard of distortion, endangering the sustainability of scientific research. © Beech Tree Publishing 2010.

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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
measurement, scientific growth, quantitative analysis
in
Research Evaluation
volume
19
issue
1
pages
17 pages
publisher
Beech Tree Publishing
external identifiers
  • Scopus:77953339796
ISSN
0958-2029
DOI
10.3152/095820210X492477
language
English
LU publication?
no
id
9e69d792-d2c3-4aca-bd34-adb5752b5055
date added to LUP
2016-05-18 13:33:52
date last changed
2016-10-13 05:08:51
@misc{9e69d792-d2c3-4aca-bd34-adb5752b5055,
  abstract     = {<p>Scientific performance should not be measured by a one-dimensional metric such as publication, since it is a multi-dimensional phenomenon. A quantitative analysis of the activities of research groups in three scientific fields demonstrates in particular the importance of sufficient numbers of PhD graduates and of contributions to the infrastructure of the scientific community, in terms of editorships or memberships of boards, etc. The results of a quantitative analysis are largely confirmed by a parallel qualitative investigation; however, both approaches complement each other by highlighting different aspects. For example, the qualitative approach conveys explicitly the demand structure for intermediary and final outputs in the qualitative approach that interlinks the activities of different research units. The results show that it is important for science policy to set appropriate incentives for all dimensions of scientific activities, i.e. not publication output exclusively, as this entails considerable hazard of distortion, endangering the sustainability of scientific research. © Beech Tree Publishing 2010.</p>},
  author       = {Schmoch, Ulrich and Schubert, Torben and Jansen, Dorothea and Heidler, Richard and von Görtz, Regina},
  issn         = {0958-2029},
  keyword      = {measurement,scientific growth,quantitative analysis},
  language     = {eng},
  number       = {1},
  pages        = {2--18},
  publisher    = {ARRAY(0xb3073b8)},
  series       = {Research Evaluation},
  title        = {How to use indicators to measure scientific performance : A balanced approach},
  url          = {http://dx.doi.org/10.3152/095820210X492477},
  volume       = {19},
  year         = {2010},
}