The model of information resources selection based on the generation theory, scientometrics and personality study factor method as an instrument for developing global digital platforms

Abstract

The authors discuss the methodology of global digital platforms development in the context of Russia’s transfer to the information society. The authors apply the theory of generations, statistical data provided by ROSSTAT and the Ministry of Science and Higher Education, to identify the most promising class of global digital platforms – that is the classes that comprise personality-oriented adaptive educational systems and library information systems providing data to build the curriculum. The essential criteria for transforming information library systems into smart libraries are suggested. Based on the criteria, the literature selection algorithm is developed. It is based on the cluster analysis of R. Cattell’s personality multifactor testing, form C. The selected literature is studied with the subsequent formation of average typical user profiles within lumped program tracks. The search sample is reduced through the modified method of science citation index assessment applied to conference proceedings and academic journals, which is the new approach to monographs and textbooks selection, and typical user psychological and emotional profiles. The authors provide recommendations on implementing their findings in the CIS and RF-friendly countries.