National Scientific Information Infrastructure: Problems, Tasks and Prospects

Andrey E. Guskov (), Aleksandr S. Karaush, Ilya E. Menshchikov, Andrei V. Shkolin, Vitaly O. Nedelskiy, Denis S. Sabirov and Timur N. Shchukin
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Andrey E. Guskov: Russian Research Institute of Economics, Politics and Law in Science and Technology
Aleksandr S. Karaush: Russian National Public Library for Science and Technology
Ilya E. Menshchikov: Engineering Center of the IPCE RAS, A. N. Frumkin Institute of Physical Chemistry and Electrochemistry RAS
Andrei V. Shkolin: Engineering Center of the IPCE RAS, A. N. Frumkin Institute of Physical Chemistry and Electrochemistry RAS
Vitaly O. Nedelskiy: Gorno-Altai State University
Denis S. Sabirov: Institute of Petrochemistry and Catalysis, Ufa Federal Research Centre of RAS
Timur N. Shchukin: Moscow School of management “Skolkovo”

Science Governance and Scientometrics Journal, 2022, vol. 17, issue 3, 380-407

Abstract: Introduction. Large volumes of scientific data and the development of the Data-Driven Science paradigm create a need for fundamentally new tools with which to work with information and conduct scientific communication. The emergence of such tools is only possible given the prerequisite technological foundation – a well-developed digital infrastructure for the storage and exchange of a large variety of scientific data, intended for use not only by researchers but also by software agents. The article analyzes the problems in the established practices of scientific information management in Russia and the existing barriers that prevent the creation of a new generation of tools. Overcoming them is a very complex and large-scale task, due to the diversity of actors involved in scientific information, the types of scientific information, the specificity of various subject areas, and other factors. To do so, we need a Strategy for the Development of a National Scientific Information Infrastructure, a set of systemic changes in the standards and practices for working with scientific information which will affect a significant part of the scientific community. Results and Discussion. The main provisions of the Strategy are formulated, including the goal, objectives and principles of development, its main mission (creating an environment for the formation of value chains of scientific information) and key results – new highly intelligent services for informational support of various types of scientific activity. Conclusion. The implementation of the proposed Strategy should result in new highly intelligent services offering informational support for various types of scientific activity; development of digital competencies among researchers; a significant increase in the use of scientific content; development of the market for scientific information services; improvements in the system of division of scientific labor.

Keywords: Data science; scientific information; scientific and technical information; ontology; metadata; scientific communication (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:akt:journl:v:17:y:2022:i:3:p:380-407

DOI: 10.33873/2686-6706.2022.17-3.380-407

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