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

Fionn Murtagh (), Michael Orlov and Boris Mirkin
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Fionn Murtagh: University of Derby
Michael Orlov: National Research University Higher School of Economics
Boris Mirkin: National Research University Higher School of Economics

Journal of Classification, 2018, vol. 35, issue 1, No 2, 5-28

Abstract: 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.

Keywords: Research impact; Scientometrics; Stratification; Rank aggregation; Multicriteria decision making; Semantic analysis; Taxonomy (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00357-018-9247-0

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