Research and development in big data

Authors

  • Yuri Evgenyevich Hohlov Institute of the Information Society
  • Sergei Borisovich Shaposhnik Karelian Scientific Center of the Russian Academy of Sciences

Keywords:

big data, big data technologies, research and development, publication activity, patent activity, scientometric indicators, monitoring and evaluation

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.

About authors

Yuri Evgenyevich Hohlov

Institute of the Information Society

Chairman of the Board of directors

Plekhanov Russian University of Economics
IIS-based Digital economy department
Scientific advisor

Candidate of physical and mathematical sciences, associate professor

Sergei Borisovich Shaposhnik

Karelian Scientific Center of the Russian Academy of Sciences

OKNI, Laboratory of digital technologies for regional development
Senior researcher

Информационное общество, 2021, выпуски 4-5

Published

08.11.2021

How to Cite

Hohlov, Y. E., & Shaposhnik, S. B. (2021). Research and development in big data. Information Society, (4-5), 90-109. Retrieved from http://infosoc.iis.ru/article/view/659

Issue

No. 4-5 (2021): Big Data for Digital Economy

Section

Information society: policy and drivers

Copyright (c) 2021 Юрий Евгеньевич Хохлов, Сергей Борисович Шапошник

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.