Big Data Government Policy and Regulation

Abstract A framework and a set of indicators developed for monitoring public policy and regulation in the field of big data as a factor influencing the development, production, and use of big data technologies are presented. The framework includes indicators characterizing strategic planning, legal and technical regulation, self-regulation and regulation of processes to ensure trust and security in working with big data. Methods for measuring indicators for monitoring public policy and regulating work with big data are proposed, and the results of measuring available indicators are presented.

Authors

Institutions

Publication Details

Journal
Lobachevskii Journal of Mathematics
Published
2026-10-09
DOI
https://doi.org/10.1134/s1995080226700113
Primary Topic
Digitalization, Law, and Regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Big Data Government Policy and Regulation

V. V. Padzhev, Yu. E. Khokhlov, S. V. Orlov
Lobachevskii Journal of Mathematics
Digitalization, Law, and Regulation
article

Big Data Government Policy and Regulation

V. V. Padzhev, Yu. E. Khokhlov, S. V. Orlov
article en

Abstract

Abstract A framework and a set of indicators developed for monitoring public policy and regulation in the field of big data as a factor influencing the development, production, and use of big data technologies are presented. The framework includes indicators characterizing strategic planning, legal and technical regulation, self-regulation and regulation of processes to ensure trust and security in working with big data. Methods for measuring indicators for monitoring public policy and regulating work with big data are proposed, and the results of measuring available indicators are presented.

Lobachevskii Journal of MathematicsVol. 47(S1)
Plekhanov Russian University of Economics (RU), Lomonosov Moscow State University (RU)
Openalex Percentile: Top 3%
Digitalization, Law, and Regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.