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Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research

Author

Listed:
  • Fionn Murtagh

    (University of Derby
    Goldsmiths, University of London)

  • Michael Orlov

    (National Research University Higher School of Economics)

  • Boris Mirkin

    (National Research University Higher School of Economics
    Birkbeck, University of London)

Abstract

The appeal of metric evaluation of research impact has attracted considerable interest in recent times. Although the public at large and administrative bodies are much interested in the idea, scientists and other researchers are much more cautious, insisting that metrics are but an auxiliary instrument to the qualitative peer-based judgement. The goal of this article is to propose availing of such a well positioned construct as domain taxonomy as a tool for directly assessing the scope and quality of research. We first show how taxonomies can be used to analyze the scope and perspectives of a set of research projects or papers. Then we proceed to define a research team or researcher’s rank by those nodes in the hierarchy that have been created or significantly transformed by the results of the researcher. An experimental test of the approach in the data analysis domain is described. Although the concept of taxonomy seems rather simplistic to describe all the richness of a research domain, its changes and use can be made transparent and subject to open discussions.

Suggested Citation

  • Fionn Murtagh & Michael Orlov & Boris Mirkin, 2018. "Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research," Journal of Classification, Springer;The Classification Society, vol. 35(1), pages 5-28, April.
    • Handle: RePEc:spr:jclass:v:35:y:2018:i:1:d:10.1007_s00357-018-9247-0
    DOI: 10.1007/s00357-018-9247-0
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    References listed on IDEAS

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    1. Ng, Wan Lung, 2007. "A simple classifier for multiple criteria ABC analysis," European Journal of Operational Research, Elsevier, vol. 177(1), pages 344-353, February.
    2. Giovanni Abramo & Tindaro Cicero & Ciriaco Andrea D’Angelo, 2013. "National peer-review research assessment exercises for the hard sciences can be a complete waste of money: the Italian case," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 311-324, April.
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    Cited by:

    1. A. Ferrer-Sapena & J. M. Calabuig & L. M. García Raffi & E. A. Sánchez Pérez, 2020. "Where Should I Submit My Work for Publication? An Asymmetrical Classification Model to Optimize Choice," Journal of Classification, Springer;The Classification Society, vol. 37(2), pages 490-508, July.
    2. Cappelletti-Montano, Beniamino & Columbu, Silvia & Montaldo, Stefano & Musio, Monica, 2022. "Interpreting the outcomes of research assessments: A geometrical approach," Journal of Informetrics, Elsevier, vol. 16(1).

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