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The problems of applying big data technology in modern scientometric analysis are considered. The importance and relevance of these problems are determined by the ability of big data to significantly increase the efficiency of scientometric research through in-depth analysis of mega-volumes of heterogeneous data and to identify on this basis new semantic relationships and patterns. The main content of big data technology is disclosed. The article presents a list of data requirements that allow data to be classified as big data; the importance of this technology as the advanced means of scientific research in scientometrics is noted; detailed characteristics of methods of scientific research are given. The features of bibliometric, altmetric, webometric, and probabilistic-statistical methods are analyzed. The important place of big data technology in the modern set of methods and means of scientific research in scientometrics is emphasized.
E. V. Melnikova (Wed,) studied this question.