Aspect Analysis of Data Systematization of Library’s Document Collection, and Scientific Landscape
https://doi.org/10.31432/1994-2443-2020-15-3-63-70
Abstract
The paper discusses the method of aspect analysis of classification indexes of the document collection of libraries. The method allows you to establish links between the Sciences and information flows between them, which determines the landscape of scientific knowledge. The object of analysis is a set of composite classification indexes containing pointers to relevant areas of knowledge as aspects. The proposed approach can be used in scientometric research.
About the Authors
A. N. Sysoev
Russian Institute for Scientific and Technical Information (VINITI RAS)
Russian Federation
Moscow
Russian Federation
Moscow
V. N. Beloozerov
Russian Institute for Scientific and Technical Information (VINITI RAS)
Russian Federation
Moscow
Russian Federation
Moscow
References
1. Hicks D., Wouters P., Waltman L., Rijcke S. de, Rafols I. Bibliometrics: The Leiden Manifesto for Research Metrics. // Nature. Vol. 520(7548). — 2015. — pp. 429–431. DOI:10.1038/520429a.
2. Leonova YU.V., Fedotov A.M. Izvlechenie znanij i faktov iz tekstov dissertacij i avtoreferatov dlya izucheniya svyazej nauchnyh soobshchestv / Trudy 15-j Vserossijskoj nauchnoj konferencii «Elektronnye biblioteki: perspektivnye metody i tekhnologii, elektronnye kollekcii» — RCDL-2013, YAroslavl’, Rossiya, 14-17 oktyabrya 2013 g. s. 3241.
3. Devyatkin D.A., SHvec A.V., Tihomirov I.A. Vyyavlenie napravlenij issledovanij i nauchnyh kollektivov na osnove analiza polnotekstovyh kollekcij nauchnyh publikacij // Materialy vtorogo mezhdunarodnogo professional’nogo foruma “Kniga. Kul’tura. Obrazovanie. Innovacii». («Krym2016»). — 2016. — c.302-306.
4. Panin S.B. Sovremennye naukometricheskie sistemy «WOS» i «SCOPUS»: izdatel’skie problemy i novye orientiry dlya Rossijskoj vuzovskoj nauki / Gumanitarnye issledovaniya Central’noj Rossii № 3 (12), 2019. — s.51-65.
5. Leydesdorff L. Diversity and interdisciplinarity: how can one distinguish and recombine disparity, variety, and balance? / Scientometrics (2018) 116:2113–2121; URL: https://doi. org/10.1007/s11192-018-2810-y(0123456789().,volV)(0123456789().,-volV).
6. Leydesdorff L., Wagner C.S., Bornmann L. Diversity measurement: Steps towards the measurement of interdisciplinarity? / Journal of Informetrics (2019. — t. 13). — № 3. — pp. 904-905.
7. Beloozerov V.N., Astahova T.S., Antoshkova O.A., Smirnova O.V., Sukiasyan E.R. Metodicheskoe posobie po Universal’noj Desyatichnoj Klassifikacii. — M.: VINITI, 2007. — 151 S.
8. Sukiasyan E. R. SHkola indeksirovaniya: prakticheskoe posobie / E. R. Sukiasyan. — M.: Izdatel’stvo «Libereya». — 2006. — 172 S.
9. Beloozerov V.N. Struktura i funkcii UDK // Nauchno-tekhnicheskaya informaciya, Ser.1. — 2006. — № 10. — S. 5-8.
10. SIBID GOST R 7.0.66-2010 (ISO 5963:1985) Indeksirovanie dokumentov. Obshchie trebovaniya k koordinatnomu indeksirovaniyu = ISO 5963:1985. Documentation — Methods for examining documents, determining their subjects and selecting indexing terms (MOD) / Izdanie oficial’noe / M.: IPK Izdatel’stvo standartov. — 2011. — 16 S.
11. Sysoev A. N., Beloozerov V. N. Aspektnyj analiz klassifikacionnyh indeksov dokumentov bibliotechnogo fonda // Nauchno-tekhnicheskaya informaciya, Ser. 1. — 2020. — № 8. — (v pechati).
Review
For citations:
Sysoev A.N., Beloozerov V.N. Aspect Analysis of Data Systematization of Library’s Document Collection, and Scientific Landscape. Information and Innovations. 2020;15(3):63-70. (In Russ.) https://doi.org/10.31432/1994-2443-2020-15-3-63-70
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