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How to use indicators to measure scientific performance: a balanced approach.

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Title: How to use indicators to measure scientific performance: a balanced approach.
Authors: Schmoch, Ulrich1 ulrich.schmoch@isi.fraunhofer.de, Schubert, Torben1,2, Jansen, Dorothea3,4, Heidler, Richard3, Von Görtz, Regina3
Source: Research Evaluation. Mar2010, Vol. 19 Issue 1, p2-18. 17p. 6 Charts, 6 Graphs.
Subjects: Science indicators, Performance, Quantitative research, Qualitative research, Research teams, Scientific community
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 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. [ABSTRACT FROM AUTHOR]
Copyright of Research Evaluation is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Research Evaluation is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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