Systems and Means of Informatics

2018, Volume 28, Issue 3, pp 189-203

CALCULATION OF INTENSITY INDICATORS OF SCIENCE-TECHNOLOGY LINKAGES

V. A. Minin
I. M. Zatsman
V. A. Havanskov
S. K. Shubnikov

Abstract

The outcomes of the experiment on calculating the values of the intensity indicators of science-technology linkages are presented. The experiment was carried out using an eleven-year array of full-text descriptions of inventions.
The indicator evaluation of the process of knowledge transfer to the sphere of technology is an important element in the study of the linkages between science and technology, characterizing the processes of creating scientific foundations for developing advanced technologies. In the course of research conducted at the Institute of Informatics Problems of the Russian Academy of Sciences, a model, a methodology, and a testbed of an information system have been created for calculation of the values of the intensity indicators of science-technology linkages.
The main aim of this experiment is to compare the meanings of indicators of two types that characterize different aspects of the intensity of knowledge transfer to the sphere of technology. Comparison of the calculated values of these indicators is made and their meanings are specified.

[+] References (21)

Zatsman, I. M., and G. F. Verevkin. 2006. Informatsionnyy monitoring sfery nauki v zadachakh programmno-tselevogo upravleniya [Information monitoring of scientific activities in projections tasks with specific objectives]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 16(1): 185-210.
Zatsman, I.M., and S.K. Shubnikov. 2007. Printsipy obrabotki informatsionnykh resursov dlya otsenki innovatsionnogo potentsiala napravleniy nauchnykh issledovaniy [The principles of processing of information resources for estimation of innovative potential of the directions of scientific research]. Tr. IX Vseross. nauchn. konf. RCDL'2007 "Elektronnye biblioteki: perspektivnye metody i tekhnologii, elektronnye kollektsii" [9th All-Russian Scientific Conference RCDL'2007 "Digital Libraries: Advanced Methods and Technologies, Digital Collections" Proceedings]. Pereslavl- Zalessky: Pereslavl University. 35-44.
Zatsman, I. M., and O. S. Kozhunova. 2007. Semanticheskiy slovar' sistemy infor- matsionnogo monitoringa v sfere nauki: zadachi i funktsii [Semantic dictionary of information monitoring system in science: Tasks and functions]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 17 (1): 124-141.
Zatsman, I., and O. Kozhunova. 2008. Evaluating for institutional academic activities: Classification scheme for R&D indicators. 10th Conference (International) on Science and Technology Indicators: Book of Abstracts. Vienna: ARC GmbH. 428-431.
Zatsman, I., and O. Kozhunova. 2009. Evaluation system for the Russian Academy of Sciences: Objectives-resources-results approach and R&D indicators. Atlanta Conference on Science and Innovation Policy Proceedings. Eds. S.E. Cozzens and P. Catakn. Atlanta, GA. Available at: http://smartech.gatech.edu/bitstream/1853/ 32300/1/104-674-1-PB.pdf (accessed August 10, 2018).
Zatsman, I., and A. Durnovo. 2010. Incompleteness problem of indicators system of research programme. 11th Conference (International) on Science and Technology Indicators: Book of Abstracts. Leiden: CWTS. 309-311.
Arkhipova, M.Yu., I. M. Zatsman, and S. Yu. Shul'ga. 2010. Indikatory patentnoy aktivnosti v sfere informatsionno-kommunikatsionnykh tekhnologiy i metodika ikh vychisleniya [Indicators of patent activities in the sphere of information and communication technologies and a technique of their computation]. Ekonomika, statistika i informatika. Vestnik UMO [Economics, Statistics, and Informatics. UMO Bull.] 4:93-104.
Zatsman, I. M., and A. A. Durnovo. 2011. Modelirovanie protsessov formirovaniya ekspertnykh znaniy dlya monitoringa programmno-tselevoy deyatel'nosti [Modeling of processes for creation of expert knowledge for monitoring of goal-oriented programme activities]. Informatika i ee Primeneniya - Inform. Appl. 5(4):84-98.
Narin, F., and E. Noma. 1985. Is technology becoming science? Scientometrics 7(3- 6):369-381.
Mansfield, E. 1991. Academic research and innovation. Res. Policy 20(1): 1-12.
Schmoch, U. 1993. Tracing the knowledge transfer from science to technology as reflected in patent indicators. Scientometrics 26:193-211.
Mansfield, E. 1995. Academic research underlying industrial innovations: Sources, characteristics and financing. Rev. Econ. Statistics 77(1):55-62.
Narin, F., and D. Olivastro. 1998. Linkage between patents and papers: An interim EPO/US comparison. Scientometrics 41(1-2):51-59.
Mansfield, E. 1998. Academic research and industrial innovation: An update of empirical findings. Res. Policy 26(7-8):773-776.
Tijssen, R. J. W., R. K. Buter, and Th.N. VanLeeuwen. 2000. Technological relevance of science: An assessment of citation linkages between patents and research papers. Scientometrics 47(2):389-412.
Van Looy, B., E. Zimmermann, R. Veugelers, A. Verbeek, J. Mello, and K. Debackere. 2003. Do science-technology interactions pay on when developing technology? An exploratory investigation of 10 science-intensive technology domains. Scientometrics 57(3):355-367.
European Communities. 2003. Third European Report on Science & Technology Indicators. Luxembourg: Office for Official Publications of the European Communities. 451 p.
Minin, V.A., I. M. Zatsman, M. G. Kruzhkov, and T. P. Norekyan. 2013. Metodologicheskie osnovy sozdaniya informatsionnykh sistem dlya vychisleniya indikatorov tematicheskikh vzaimosvyazey nauki i tekhnologiy [Methodological bases for creating information systems calculating indicators of thematic linkages between science and technologies]. Informatika i ee Primeneniya - Inform. Appl. 7 (1):70-81.
Minin, V. A., I. M. Zatsman, V. A. Khavanskov, and S. K. Shubnikov. 2017. Methods of indicator-based assessment of knowledge transfer from science to technology. Automatic Documentation Math. Linguistics 51 (4): 180-190.
Minin, V. A., I. M. Zatsman, V.A. Havanskov, and S.K. Shubnikov. 2017. Make- tirovaniye informatsionnoy sistemy vychisleniya indikatorov perenosa nauchnykh znaniy v sferu tekhnologiy [Prototyping an information system for the calculation of indicators of the intensity of the transfer of scientific knowledge in the field of technology]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 27 (3): 171-182.
Arkhitektonika klassifikatsionnykh indeksov [Architectonics of classification indices]. Available at: http://wwwl.fips.nj/wps/wcm/connect/content_nj/nj/inform_ resources/international_classification/inventions/mpk_begin/article_2 (accessed Au-gust 10, 2018).

[+] About this article