The use of big data technologies in Russian science

Abstract

A conceptual framework and a set of indicators have been developed for monitoring the use of big data technologies in science. The conceptual framework has three main sections: the level of maturity of technology use in scientific organizations, the level of technology use in science, and barriers to the use of big data technologies in science. An assessment of the level of big data technology use in science and a comparative analysis of the results obtained for Russia and other countries were made. It was found that, compared to the global average, Russia has a higher share of articles using big data technologies in the social sciences and humanities. A regularity has been revealed: publications that use big data are cited significantly more frequently on average than all publications of the country in the same fields of science.