This article considers the task of creating a national system for identifying research and development priorities and suggests a uniform information analysis system as a solution to this problem. A variety of criteria, as determined by the target function and long-term planning objectives, are recommended as a basis for analysis and selection of priorities. A prototype of such a system is briefly described and a general methodology of identifying national priorities is presented. The article uses thermoplastic materials as a model example of a subject area to illustrate how the general situation in a priority direction may differ from specific cases.
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Devyatkin, D.A., Smirnov, I.V., Sochenkov, I.V., and Tikhomirov, I.A., Modern methods of computational linguistics for patent search and information analysis, Zh. Intell. Sobstvennost’, Prom. Sobstvennost, 2016, suppl., pp. 71–77.
Osipov, G., et al., Information retrieval for R&D support, in Professional Search in the Modern World, Springer, 2014, pp. 45–69.
Kurakova, N.G., et al., Assessment of compliance with the world level of research in conditions of self-isolation of Russian science: Problems and possible solutions, Ekon. Nauki, 2015, no. 1, pp. 6–13.
Strategy of Scientific and Technological Development of the Russian Federation 2016. http://www.sntrrf.ru/upload/iblock/c80/Указ%20Президента%20РФ %20о%20Стратегии%20научно-технологическо-го%20развития%20Российской%20Федерации.pdf. Accessed May 10, 2018.
Osipov, G., Smirnov, I., Tikhomirov, I., and Shelmanov, A., Relational-situational method for intelligent search and analysis of scientific publications, Proceedings of the Integrating IR Technologies for Professional Search Workshop, 2013, pp. 57–64. http://ceurws.org/Vol-968. Accessed November 21, 2018.
Sochenkov, I.V. and Suvorov, R.E., Full-text search services in the information-analytical system. Part 1, Inf. Tekhnol. Vychisl. Sist., 2013, no. 2, pp. 69–78.
Bonino, D., Ciaramella, A., and Corno, F., Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics, World Pat. Inf., 2010, vol. 32, no. 1, pp. 30–38.
Zubarev, D. and Sochenkov, I., Using a sentence similarity measure for plagiarism source retrieval, in Working Notes for the CLEF 2014 Conference, 2014, pp. 1027–1034. http://ceur-ws.org/Vol-1180. Accessed November 21, 2018.
Smirnov, I.V., Sochenkov, I.V., Murav’ev, V.V., and Tikhomirov, I.A., Results and prospects of the Exactus search algorithm, Trudy rossiiskogo seminara po otsenke metodov informatsionnogo poiska ROMIP’2007–2008 (Proceedings of the Russian Workshop on the Evaluation of Information Retrieval Methods ROMIP’2007–2008), St. Petersburg, 2008, pp. 66–76.
Lewin, S., et al., Using qualitative evidence in decision making for health and social interventions: An approach to assess confidence in findings from qualitative evidence syntheses (GRADE-CERQual), PLoS Med., 2015, vol. 12, no. 10, pp. 1–18.
Aggrey, G.H., et al., Data richness and reliability in smart-field management—is there value?, SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, 2006. https://www.dimensions.ai/. Accessed May 5, 2018.
Sunitha, C., Preethi, B.M., and Akshay, M.A., Comparative study over search engine optimization on precision and recall ratio, Proceedings of National Conference on New Horizons in IT-NCNHIT, 2013, p. 35.
Petrova, G.N. and Beider, E.Ya., Structural materials based on reinforced thermoplastics, Ross. Khim. Zh., 2010, vol. 54, no. 1, pp. 34–40.
Russian Text © I.A. Sokolov, O.G. Grigor’ev, I.A. Tikhomirov, D.A. Devyatkin, R.E. Suvorov, V.V. Zhebel’, 2019, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 1: Organizatsiya i Metodika Informatsionnoi Raboty, 2019, No. 1, pp. 14–20.
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Sokolov, I.A., Grigor’ev, O.G., Tikhomirov, I.A. et al. On Creating a National System for Identifying Research and Development Priorities. Sci. Tech. Inf. Proc. 46, 14–19 (2019). https://doi.org/10.3103/S0147688219010039
- scientific and technological development strategy
- digital economy
- text analysis
- semantic analysis
- development priorities
- scientific directions
- scientific reserves