Counting is Not Enough - How Plain Language Statements Could Improve Research Assessment
Academic hiring and promotion committees and funding bodies often use publication lists as a shortcut to assessing the quality of applications.In order to avoid bias towards prestigious titles, plain language statements should become a standard feature of academic assessment.
2019 EUA Workshop on Research Assessment in the Transition to Open Science
EUA is organising a series of workshops raising awareness and fostering discussion on research assessment reform. The 2019 edition will focus on research evaluation for the purpose of recruitment and career progression of researchers.
Ghent University, in Belgium, Embraces New Approach to Faculty Evaluation Less Focused on Quantitative Metrics
Saying it wants to "again become a place where talent feels valued and nurtured," Ghent University overhauls its system for faculty evaluation to de-emphasize quantitative metrics and annual progress reports. Professors will be asked about their goals and what they are proud of.
Elsevier Acquires Science-Metrix Inc., Provider of Research Analytics Services and Data
Elsevier, the information analytics business specializing in science and health, has acquired Science-Metrix Inc., a research evaluation firm that provides science research evaluation and analytics to assess science and technology activities
DORA, Plan S and the (open) Future of Research Evaluation
Slides from a talk given to the general assembly of Science Europe in Brussels on 22 Nov 2018. Gives an overview of the problems of over-metricised research evaluation and how this might be tackled, in part through initiatives driven by DORA, and how they are linked with drives such as Plan S to promote open science. Shared under a CC-BY-SA opinion (though Figshare doesn't seem to allow me to select that option from their drop-down menu).
Scaling Down Inequality: Rating Scales, Gender Bias, and the Architecture of Evaluation
Quantitative performance ratings are ubiquitous in modern organizations — from businesses to universities — yet there is substantialevidence of bias against women in suchratings. This study examines how gender inequalities in evaluations dependon the design of the tools used to judge merit.