Research and Development in Big Data

Abstract A conceptual framework and a set of indicators have been developed for monitoring R&D as a factor in the development and use of big data technologies. The framework has three main components: national scale of research and development, level of research and development in comparison with other countries, and international cooperation as well as cooperation between academia and business. The calculation of indicators and a comparative analysis of the results obtained with other countries were carried out.

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Publication Details

Journal
Lobachevskii Journal of Mathematics
Published
2026-10-09
DOI
https://doi.org/10.1134/s1995080226700149
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Research and Development in Big Data

S. B. Shaposhnik, Yu. E. Khokhlov
Lobachevskii Journal of Mathematics
Big Data Technologies and Applications
article

Research and Development in Big Data

S. B. Shaposhnik, Yu. E. Khokhlov
article en

Abstract

Abstract A conceptual framework and a set of indicators have been developed for monitoring R&D as a factor in the development and use of big data technologies. The framework has three main components: national scale of research and development, level of research and development in comparison with other countries, and international cooperation as well as cooperation between academia and business. The calculation of indicators and a comparative analysis of the results obtained with other countries were carried out.

Lobachevskii Journal of MathematicsVol. 47(S1)
Plekhanov Russian University of Economics (RU), Institute of Biology of Karelian Research Centre (RU), Institute of Geology of the Karelian Research Center (RU), Karelian Research Centre (RU)
Openalex Percentile: Top 7%
Big Data Technologies and Applications
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Research and Development in Big Data — S. B. Shaposhnik, Yu. E. Khokhlov · Lobachevskii Journal of Mathematics (2026) | TGRS Research Map | TGRS