Technology and digitalization: organization of scientific research in the magistracy

Abstract

The problem of effective search, explication, and analysis of contextual knowledge is associated with an ever-increasing volume of available information, its non-formalization and poor structuredness, a high rate of updating of scientific knowledge, the polysemy of the terminological base used, the transfer of terms from one subject area to another without the necessary interpretation and adaptation. The existing tools for searching, explicating and analysing contextual knowledge are of little demand due to the lack of meaningful information both about the tools themselves and about the methods and algorithms for their application in science and practice, as well as the limited set of services provided by analytical software. The educational-methodical complex “Technologies of data extraction and mining in scientific research” is aimed at the formation of research and analytical competencies of undergraduates. The results of mastering the educational product will allow undergraduates to consciously apply in research practice an integrated approach (synthetic method) to the search and analysis of contextual knowledge, to use analytical software and environments with built-in services for explication, clustering, and statistical processing of scientific texts on the basis of this approach.