Year: 2025
Type: article
Abstract: A dataset of aggregated eLibrary data is presented. Parsing is performed using the Python language, the aim of the algorithm is to retrieve references with data on authors. The database is generated in Excel format, for federal universities and universities participating in the programmes "5-100", "Priority-2030" and in more detail for universities and organisations of the RAS structure of the Sverdlovsk region. The database is represented by a matrix: the rows contain information on the i-th author, the columns contain scientometric indicators. Despite the limitations inherent in the elibrary database, its data are relevant in the study of Russian HEIs; due to the stratification of regional HEI systems, it is quite relevant for Russia to cooperate with leading domestic HEIs, in this case, to assess the parameters of scientific activity on a national scale, we cannot ignore internal databases (e.g., eLibrary).
Authors: Anastasia E. Sudakova, Gavriil A. Agarkov
Institution: Ural Federal University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409336485