Testing Reviewer Suggestions Derived from Bibliometric Specialty Approximations in Real Research Evaluations
Nadine Rons
10.6084/m9.figshare.7049420.v1
https://figshare.com/articles/poster/Testing_Reviewer_Suggestions_Derived_from_Bibliometric_Specialty_Approximations_in_Real_Research_Evaluations/7049420
Many contemporary
research funding instruments and research policies aim for excellence at the
level of individual scientists, teams or research programmes. Good bibliometric
approximations of related specialties could be useful for instance to help
assign reviewers to applications. This paper reports findings on the usability
of reviewer suggestions derived from a recently developed specialty
approximation method combining key sources, title words, authors and references
(Rons, 2018). Reviewer suggestions for applications for Senior Research
Fellowships were made available to the evaluation coordinators. Those who were invited
to review an application showed a normal acceptance rate, and responses from
experts and coordinators contained no indications of mismatched scientific
focus. The results confirm earlier indications that this specialty
approximation method can successfully support tasks in research management.
2018-09-05 17:22:06
Reviewer suggestions
Specialty approximation
Research evaluation
Bibliometrics
STI18LDN
Informetrics
Library and Information Studies
Science Policy