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Do we need a feminist bibliometrics?

Do we need a feminist bibliometrics?

Donovan, Claire ORCID: 0000-0002-6105-7794 (2019) Do we need a feminist bibliometrics? In: CGHE Seminar 110. Centre for Global Higher Education.

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Abstract

Bibliometrics is the scientific investigation of the quality or impact of academic publications, based on data about research productivity and citation numbers. Bibliometric data is increasingly being used by research managers and academics to assess research excellence, and is assumed to be an objective basis for decisions about hiring, promotion, tenure, awarding grants, and as a marker of the quality of an individual’s research. However, empirical studies reveal that the concept of academic excellence is a social construct, is gendered and discriminates against women (Rees, 2011; van den Brink and Benshop, 2011).

There is conflicting evidence for and against bibliometrics being a technology that can harm (Brooks et al., 2014) or liberate female academics (van Arensbergen et al., 2012), the field of gender studies, and feminist scholarship. This research seminar paper will present a review of the literature on gender and bibliometrics, and gender and academic excellence.

The seminar will focus on gendered excellence in the social sciences and ultimately pose and answer the question, ‘Do we need a feminist bibliometrics?’ Is there a need for a fresh approach to bibliometrics and research evaluation that exposes and removes gendered assumptions and biases about what constitutes excellence in the academy? And what would a feminist bibliometrics look like?

Item Type: Conference Proceedings
Title of Proceedings: CGHE Seminar 110
Uncontrolled Keywords: bibliometrics, gender, feminist
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Department of Education & Community Studies
Last Modified: 17 Feb 2021 09:57
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/29784

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