Towards Culture-Sensitive Extensions of CRISs: Gender-Based Researcher Evaluation

Current research information systems (CRISs) offer great opportunities for extraction of useful and actionable knowledge based on various data analysis techniques. However, many of these opportunities have not been explored in depth, especially in culture-sensitive areas such as gender-based evaluation of researchers. In this paper, we present GERBER, a methodology and accompanying tool for performing gender-based analysis of CRIS data. The tool enables the extraction of co-authorship networks, computation of various author metrics, and statistical comparison of male and female researchers. Functionality of GERBER is demonstrated on data extracted from the CRIS of the University of Novi Sad (UNS). We also present a plan to integrate GERBER into CRIS UNS in order to facilitate continuous gender-based researcher evaluation. Experiences obtained during such integration will enable us to propose more general methodological guidelines and APIs for culturesensitive extensions of CRIS systems and standards.