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

Journal of Classification - Tập 35 - Trang 5-28 - 2018
Fionn Murtagh1,2, Michael Orlov3, Boris Mirkin3,4
1University of Derby, Derby, UK
2Department of Computing, Goldsmiths, University of London, London, UK
3National Research University, Higher School of Economics, Moscow, Russia
4Birkbeck, University of London, London, UK

Tóm tắt

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.

Tài liệu tham khảo

ACM (2012), The 2012 ACM Computing Classification System, https://www.acm.org/publications/class-2012.

BERNERS-LEE, T. (2010), “Long Live the Web”, Scientific American, 303(6), 80–85.

DORA (2013). San Francisco Declaration on Research Assessment (DORA), http://www.ascb.org/files/SFDeclarationFINAL.pdf.

EISEN, J.A., MACCALLUM, C.J., and NEYLON, C. (2013), “Expert Failure: Re-Evaluating Research Assessment”, PLoS Biology, 11(10): e1001677.

ENGELS, T.C., GOOS, P., DEXTERS, N., and SPRUYT, E.H. (2013), “Group Size, h-Index, and Efficiency in Publishing in Top Journals Explain Expert Panel Assessments of Research Group Quality and Productivity”, Research Evaluation, 22(4), 224–236.

HALLANTIE, T. (2016), ”What It Takes to Succeed in FET-Open”, https://ec.europa.eu/digital-single-market/en/blog/what-it-takes-succeed-fet-open.

HICKS, D., WOUTERS, P., WALTMAN, L., DE RIJCKE, S., and RAFULS, I. (2015), “The Leiden Manifesto for Research Metrics”. Nature, 520, 429–431.

METRIC TIDE (2016), “The Metric Tide: Report of the Independent Review of the Role of Metrics in Research Assessment and Management”, http://www.hefce.ac.uk/pubs/rereports/Year/2015/metrictide/Title,104463,en.html.

MIRKIN, B. (2013), “On the Notion of Research Impact and Its Measurement”, Institute of Control Problems, Moscow (in Russian), Control in Large Systems, Special Issue: Scientometry and Experts in Managing Science, 44, 292–307.

MIRKIN, B., and ORLOV, M. (2013), “Methods for Multicriteria Stratification and Experimental Comparison of Them”, Preprint (in Russian) WP7/2013/06, Higher School of Economics, Moscow, 31 pp.

MURTAGH, F. (2008), “Editorial”, The Computer Journal, 51(6), 612–614.

SNOMED CT (2016), IHTSDO, International Health Terminology Standards Development Organization, SNOMEDCT, Systematized Nomenclature of Medicine, Clinical Terms, http://www.ihtsdo.org/snomed-ct.

THOMSON REUTERS (2016), “Thomson Reuters Intellectual Property and Science”, (Acquisition of the Thomson Reuters Intellectual Property and Science Business by Onex and Baring Asia Completed, Independent business becomes Clarivate Analytics), http://ip.thomsonreuters.com.

UNIVERSITY GUIDE (2016), “The Complete University League Guide”, http://www.thecompleteuniversityguide.co.uk/league-tables/methodology.