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Methods of indicator-based assessment of knowledge transfer from science to technology

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Automatic Documentation and Mathematical Linguistics Aims and scope

Abstract

Indicator-based assessment of information links between science and technology is considered. Link indicators are defined as a number or matrix of numerical values that characterize the intensity and various aspects of the knowledge transfer from different research areas to the technological area. A description of primary information resources used to determine these indicator values, including full-text patent specifications, is given. A description of secondary information resources generated in the process of full-text specification, including reference links on scientific publications cited in the specifications, is represented. Initial and secondary resources are used to create and test an indicator-based information model for the assessment of science and technology links, on whose basis the integral and subject indicator values of the scientific knowledge rate of transfer to the information technology are determined.

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References

  1. Schmoch, U., Tracing the knowledge transfer from science to technology as reflected in patent indicators, Scientometrics, 1993, vol. 26, no. 1, pp. 193–211.

    Article  Google Scholar 

  2. Tijssen, R.J.W., Buter, R.K., and Van Leeuwen, Th.N., Technological relevance of science: An assessment of citation linkages between patents and research papers, Scientometrics, 2000, vol. 47, no. 2, pp. 389–412.

    Article  Google Scholar 

  3. Van Looy, B., Zimmermann, E., Veugelers, R., Verbeek, A., Mello, J., and Debackere, K., Do sciencetechnology interactions pay on when developing technology? An exploratory investigation of 10 scienceintensive technology domains, Scientometrics, 2003, vol. 57, no. 3, pp. 355–367.

    Article  Google Scholar 

  4. Narin, F. and Noma, E., Is technology becoming science?, Scientometrics, 1985, vol. 7, no. 3–6, pp. 369–381.

    Article  Google Scholar 

  5. Narin, F. and Olivastro, D., Linkage between patents and papers: An interim EPO/US comparison, Scientometrics, 1998, vol. 41, nos. 1–2, pp. 51–59.

    Article  Google Scholar 

  6. Mansfield, E., Academic research and innovation, Res. Policy, 1991, vol. 20, no. 1, pp. 1–12.

    Article  MathSciNet  Google Scholar 

  7. Mansfield, E., Academic research underlying industrial innovations: Sources, characteristics and financing, Rev. Econ. Stat., 1995, vol. 77, no. 1, pp. 55–62.

    Article  Google Scholar 

  8. Mansfield, E., Academic research and industrial innovation: An update of empirical findings, Res. Policy, 1998, vol. 26, nos. 7–8, pp. 773–776.

    Article  Google Scholar 

  9. Third European Report on Science & Technology Indicators, Luxembourg: Office for Official Publications of the European Communities, 2003.

  10. Zatsman, I.M. and Shubnikov, S.K., Principles of processing of information resources for assessing the innovative potential of research directions, Elektronnye biblioteki: Perspektivnye metody i tekhnologii, elektronnye kollektsii: Trudy IXV serossiiskoi nauchnoi konferentsii RCDL’2007 (Electronic Libraries: Advanced Methods and Technologies, Digital Collections: Proceedings of the IXAll-Russian Scientific Conference RCDL'2007), Pereslavl’: Universitet goroda Pereslavlya, 2007, pp. 35–44.

    Google Scholar 

  11. Arkhipova, M.Yu., Zatsman, I.M., and Shul’ga, S.Yu., Indicators of patent activity in the field of information and communication technologies and methods for their calculation, Ekon. Stat. Inf., Vestn. UMO, 2010, no. 4, pp. 93–104.

    Google Scholar 

  12. Minin, V.A., Zatsman, I.M., Kruzhkov, M.G., and Norekyan, T.P., Methodological foundations for the creation of information systems for the calculation of indicators of thematic interrelationships of science and technology, Inf. Primen., 2013, vol. 7, no. 1, pp. 70–81.

    Google Scholar 

  13. Minin, V.A., Zatsman, I.M., Khavanskov, V.A., and Shubnikov, S.K., Architectural solutions for systems for calculating indicators of thematic interrelationships of science and technology, Sist. Sredstva Inf., 2013, vol. 23, no. 2, pp. 260–283.

    Google Scholar 

  14. Zatsman, I.M., Khavanskov, V.A., and Shubnikov, S.K., Method of extraction of bibliographic information from full-text descriptions of inventions, Inf. Primen., 2013, vol. 7, no. 4, pp. 52–65.

    Google Scholar 

  15. Khavanskov, V.A. and Shubnikov, S.K., Searching and categorizing references to cited publications in electronic libraries of full-text descriptions of inventions, Elektronnye biblioteki: Perspektivnye metody i tekhnologii, elektronnye kollektsii: Trudy XVI Vserossiiskoi nauchnoi konferentsii RCDL-2014 (Electronic Libraries: Advanced Methods and Technologies, Digital Collections: Proc. XVI All-Russian Sci. Conf. RCDL-2014), Dubna: OIYaI, 2014, pp. 165–173.

    Google Scholar 

  16. Minin, V.A., Zatsman, I.M., Khavanskov, V.A., and Shubnikov, S.K., Indicators of thematic interrelationships of science and technology: From text to numbers, Inf. Primen., 2014, vol. 8, no. 3, pp. 114–125.

    Google Scholar 

  17. Minin, V.A., Zatsman, I.M., Khavanskov, V.A., and Shubnikov, S.K., Indicators of thematic interrelationships of science and information and computer technologies at the beginning of the XXI century, Inf. Primen., 2015, vol. 9, no. 2, pp. 111–120.

    Google Scholar 

  18. Minin, V.A., Zatsman, I.M., Khavanskov, V.A., and Shubnikov, S.K., The intensity of citing scientific publications in inventions on information and computer technologies patented in Russia by domestic and foreign applicants, Inf. Primen., 2016, vol. 10, no. 2, pp. 107–122.

    Google Scholar 

  19. Zatsman, I.M. and Durnovo, A.A., Modeling the processes of forming expert knowledge for monitoring program goal-oriented activities, Inf. Primen., 2011, vol. 5, no. 4, pp. 84–98.

    Google Scholar 

  20. Zatsman, I. and Durnovo, A., Incompleteness problem of indicators system of research programme, The 11th International Conference on Science and Technology Indicators (STI'2010): Book of Abstracts, Leiden: CWTS, 2010, pp. 309–311.

    Google Scholar 

  21. Zatsman, I.M. and Kozhunova, O.S., Semantic dictionary of the information monitoring system in the sphere of science: Tasks and functions, Sist. Sredstva Inf., 2007, vol. 17, no. 1, pp. 124–141.

    Google Scholar 

  22. Zatsman, I. and Kozhunova, O., Evaluating for institutional academic activities: Classification scheme for R&D indicators, The 10th International Conference on Science and Technology Indicators (STI'2008): Book of Abstracts, Vienna: ARC GmbH, 2008, pp. 428–431.

    Google Scholar 

  23. Zatsman, I. and Kozhunova, O., Evaluation system for the Russian Academy of Sciences: Objectivesresources-results approach and R&D indicators, Proceedings of the 2009 Atlanta Conference on Science and Innovation Policy, Cozzens, S.E. and Catalan, P., Eds. http://smartech.gatech.edu/bitstream/1853/32300/1/104-674-1-PB.pdf. Accessed April, 4, 2017.

    Google Scholar 

  24. ST.14. Recommendations for the inclusion of references cited in patent documents. http://www.rupto.ru/docs/interdocs/stand_wipo/03_14_01.pdf. Cited April 4, 2017.

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Authors and Affiliations

  1. Institute of Informatics Problems of the Russian Academy of Sciences (IPI RAN), Moscow, 119333, Russia

    V. A. Minin, I. M. Zatsman, V. A. Khavanskov & S. K. Shubnikov

Authors
  1. V. A. Minin
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  2. I. M. Zatsman
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  3. V. A. Khavanskov
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  4. S. K. Shubnikov
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Corresponding author

Correspondence to V. A. Minin.

Additional information

Original Russian Text © V.A. Minin, I.M. Zatsman, V.A. Khavanskov, S.K. Shubnikov, 2017, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2017, No. 8, pp. 1–12.

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Minin, V.A., Zatsman, I.M., Khavanskov, V.A. et al. Methods of indicator-based assessment of knowledge transfer from science to technology. Autom. Doc. Math. Linguist. 51, 180–190 (2017). https://doi.org/10.3103/S0005105517040069

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  • DOI: https://doi.org/10.3103/S0005105517040069

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