Data mining methods were used to analyze publication activity of the university staff on the example of the Petrozavodsk State University (hereinafter referred to as PetrSU). In order to identify employees groups with similar indicators of scientific activity, they were clustered. As a result, teaching staff was divided into eight clusters, three of which included employees representing both present and future of science at Petrozavodsk State University, and others that would strive to get into these groups. The presented results of indicators’ statistical processing can be useful for university self-analysis. The university management could draw a conclusion on a current state of scientific activity, both of an individual employee and of the organization as a whole. This will allow to make scientifically-based management decisions in order to improve scientific performance of the organization.
Keywords: university permormance, scientific activity, data mining, clustering, scientometric indicators, h-index, RSCI
The estimation of intensity of patenting of results of intellectual activity by a scientific group is offered in the article. An example of its calculation is given following the analysis of Petrozavodsk State University data
Keywords: index of intensity of patenting, research group, university, h-index, RSCI
This article presents some changes in the Russian science citation index, influencing the evaluation of scientometric indicators scientists, which in turn affects the assessment of scientific activities of the organization as a whole.
Keywords: scientometric indicators, performance indicators, scientist, RSCI, strategic management, higher education