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  4. Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?
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Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?

Publication type
journal article
Publication date
2023
Author(s)
Thelwall, M.
Kousha, K.
Stuart, E.
Makita, M.
Abdoli, M.
more
Language
English
Keywords

Gender

Interdisciplinarity

REF2021

Peer Review

Research Bias

Geographical area

UK

Abstract
Systematic evaluations of publicly funded research sometimes use bibliometrics alone or bibliometric-informed peer review, but it is not known whether bibliometrics introduce biases when supporting or replacing peer review. This article assesses this by comparing three alternative mechanisms for scoring 73,612 UK Research Excellence Framework (REF) journal articles from all 34 field-based Units of Assessment (UoAs) 2014–17: REF peer review scores, field normalised citations, and journal average field normalised citation impact. The results suggest that in almost all academic fields, bibliometric scoring can disadvantage departments publishing high quality research, as judged by peer review, with the main exception of article citation rates in chemistry. Thus, introducing journal or article level citation information into peer review exercises may have a regression to the mean effect. Bibliometric scoring slightly advantaged women compared to men, but this varied between UoAs and was most evident in the physical sciences, engineering, and social sciences. In contrast, interdisciplinary research gained from bibliometric scoring in about half of the UoAs, but relatively substantially in two. In conclusion, out of the three potential sources of bibliometric bias examined, the most serious seems to be the tendency for bibliometric scores to work against high quality departments, assuming that the peer review scores are correct. This is almost a paradox: although high quality departments tend to get the highest bibliometric scores, bibliometrics conceal the full extent of departmental quality advantages, as judged by peer review. This should be considered when using bibliometrics or bibliometric informed peer review. © 2023 The Authors
Journal
Research Policy
ISSN
0048-7333
DOI
10.1016/j.respol.2023.104829
Volume
52
Issue
8
https://libkey.io/libraries/2561/articles/575238979/full-text-file?utm_source=api_2667&allow_speedbump=true
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