Authors:
Anastasia Andreasyan
1
;
Artem Balyakin
2
;
Marina Nurbina
2
and
Alina Mukhamedzhanova
3
Affiliations:
1
Open Law Limited, 9, Vetoshnyi lane, Moscow and Russia
;
2
National Research Center Kurchatov Institute, 1, ac. Kurchatov sq., Moscow and Russia
;
3
Federal State Budgetary Institution of Higher Education "Russian State University of Justice" 69, Novocheremushkinskaya St., Moscow and Russia
Keyword(s):
Big Data, Security Issues, Scientific Field, Legislation, Sensitive Data, Open Data, GDPR, Megascience.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
Data and Application Security and Privacy
;
Data Engineering
;
Data Privacy and Security
;
Databases and Data Security
;
e-Business
;
Enterprise Information Systems
;
Information and Systems Security
;
Information Integration
;
Integration/Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Symbolic Systems
Abstract:
The paper deals with legal issues arising from the need to regulate Big Data. For the purpose of this study it is suggested that aspects of legal definition of Big Data should be considered, as well as its classification, and analysis of risks in the global experience of legal regulation of Big Data. The authors believe that in the context of onrush technology it is extremely important to strike the balance, protect sensitive data, and do not bar from technological development, taking into account socio-economic impact of Big Data technology. We stress, that it is more important to control the application of Big Data analysis, rather than the information itself used in data sets.