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Appreciating, measuring and incentivising discipline diversity: Meaningful indicators of collaboration in research

Journal Article


Abstract


  • Inter-disciplinary collaborative research is generally believed to lead to innovative outcomes in areas that may be missed in research studies based in a single discipline. However, currently available research performance indicators, based on scholarly peer-reviewed publications and citations from a single discipline, do little to recognise the merits of collaborative and inter-disciplinary research. This paper presents an empirical study of members of a research unit and their publication and grant profiles. From analysis of this data a set of profile categories emerged together with the relevant indicators which provide a framework from which a deeper understanding of how different research behaviours contribute to the differences in researchers’ individual profiles. These profiles could be used to provide a richer environment for the evaluation of research performance, both in terms of outputs and potential funding opportunities, and indicators of ‘good research’ in inter-disciplinary projects.

UOW Authors


Publication Date


  • 2015

Citation


  • H. Hasan & L. Dawson, "Appreciating, measuring and incentivising discipline diversity: Meaningful indicators of collaboration in research", Australian Journal of Information Systems 19 (2015) 1-13.

Scopus Eid


  • 2-s2.0-84960095967

Number Of Pages


  • 12

Start Page


  • 1

End Page


  • 13

Volume


  • 19

Abstract


  • Inter-disciplinary collaborative research is generally believed to lead to innovative outcomes in areas that may be missed in research studies based in a single discipline. However, currently available research performance indicators, based on scholarly peer-reviewed publications and citations from a single discipline, do little to recognise the merits of collaborative and inter-disciplinary research. This paper presents an empirical study of members of a research unit and their publication and grant profiles. From analysis of this data a set of profile categories emerged together with the relevant indicators which provide a framework from which a deeper understanding of how different research behaviours contribute to the differences in researchers’ individual profiles. These profiles could be used to provide a richer environment for the evaluation of research performance, both in terms of outputs and potential funding opportunities, and indicators of ‘good research’ in inter-disciplinary projects.

UOW Authors


Publication Date


  • 2015

Citation


  • H. Hasan & L. Dawson, "Appreciating, measuring and incentivising discipline diversity: Meaningful indicators of collaboration in research", Australian Journal of Information Systems 19 (2015) 1-13.

Scopus Eid


  • 2-s2.0-84960095967

Number Of Pages


  • 12

Start Page


  • 1

End Page


  • 13

Volume


  • 19