Affiliation:
1. HSE University, Moscow, Russia
2. West Bohemian University, Pilsen,Czech Republic
Abstract
This article presents a comparative analysis of two major scientific publication databases: Web of Science Core Collection and eLibrary – to identify their differences and unique opportunities for exploration of bibliographic networks of Russian scientific authors. Current shortage of tools and approaches for collection, processing and analysis of bibliographic data in the Russian language constitutes the relevance of this study. Empirical analysis is based on comparison of respective arrays of scientific publications in the field of sociology over the period of 2010-2021. We propose a set of comparison criteria including those related to the procedure of data access, quality of data management, quantitative and qualitative features of the data. Inspection of the databases based on the proposed criteria aids in identification of intersections between both the collections and the respective qualitative observations about them. We make conclusions regarding the comparative advantages and weaknesses of both databases in regards to their potential as the sole data source for bibliographic studies, and make recommendations for their effective use in research on Russian science.
Publisher
Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences (FCTAS RAS)
Reference21 articles.
1. Bar-Ilan J. Informetrics at the beginning of the 21st century – A review, Journal of informetrics. 2008, vol. 2, p. 1–52. DOI: 10.1016/j.joi.2007.11.001.
2. Mingers J., Leydesdorff L. A review of theory and practice in scientometrics, European journal of operational research, 2015, vol. 246, no. 1, p. 1–19. DOI: 10.1016/j.ejor.2015.04.002.
3. Rousseau R., Egghe L., Guns R. Becoming metric-wise: A bibliometric guide for researchers, ed. by W. Glänzel [et al.]. Cambridge, MA: Chandos Publishing, 2018. 850 p. ISBN: 0081024754, 9780081024751.
4. Batagelj V., Doreian P., Ferligoj A., Kejžar N. Understanding large temporal networks and spatial networks: Exploration, pattern searching, visualization and network evolution. Hoboken, NJ: WileyBlackwell, 2014, 464 p. ISBN: 978-1-118-91537-0.
5. Moiseev S.P., Maltseva D.V. Source selection for systematic literature reviews: a comparison of expert and algorithmic approaches (in Russian), Sotsiologiya 4M (Sociology: methodology, methods, mathematical modeling), 2018, no. 47, p. 7–43.