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Regular version of the site

Advanced Model of State Statistics in the Digital Era

On April 10, Leonid Gokhberg, First Vice Rector of HSE and Director of the Institute for Statistical Studies and Economics of Knowledge, presented a report — ‘Advanced Model of State Statistics in the Digital Era’ during panel session 'National System of Data Management: Interaction between Society, Business and State' at the XIX April International Academic Conference on Economic and Social Development.

Advanced Model of State Statistics in the Digital Era [Text]: Report for the XIX April International Scientific Conference on economic and social development, Moscow, April, 10–13, 2018 / ed. by L. Gokhberg; National Research University Higher School of Economics. — Moscow: HSE, 2018.

Editorial Board: Leonid Gokhberg

Authors: Leonid GokhbergTatiana KuznetsovaGulnara AbdrakhmanovaTatiana KuznetsovaSergey Shashnov, Anton Suslov

With the participation of Elena Nechaeva, Georgy Oksenojt, Vitaliy RoudVitaly Dementiev

Full version of the report (in Russian)

The government has decided to develop a National Data Management System based on Russia’s Federal Statistics Service (Rosstat). Within that framework, the integration of statistical, administrative and open data must be ensured. This will require the development of a new model of state statistics, which will meet the information needs of citizens, business, and authorities.

The report presents the key areas of structural and functional transformation in Russian state statistics as the basis for the future National Data Management System. In particular, it looked at organising dialogue between the statistical service and its users, integrating data from various sources, and intellectual work with information in the context of Russia’s currently digitalizing economy.

The report is based on research conducted by the HSE Institute for Statistical Studies and Economics of Knowledge (HSE ISSEK) in regards to improving the methods of statistical monitoring, creating and altering international statistical standards, and developing methods of statistical information collection, processing, analysis and distribution.

See also:

Discussion of the report during the panel session at the XIX April International Academic Conference / Short review of the panel session