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Big Data as Object of International Legal Protection

Bibliographic Data

ID18960447
AuthorsValentina Petrovna Talimonchik (St Petersburg University, corresponding author)
Year2019
Volume12
Issue4
Pages455-469
Publication date2019-04-01
Open AccessYes
TypeARTICLE
VenueJournal of Siberian Federal University Humanities & Social Sciences (JOURNAL)
Journal identifiersISSN: 1997-1370 • E-ISSN: 2313-6014
PublisherSiberian Federal University (PUBLISHER • RU)
DOI10.17516/1997-1370-0404
OpenAlexW2936434965
LanguageEN
Citations received1
References cited2

Background/Objectives. The aim of the study is to identify the prospects for the international legal protection of Big Data at the universal and regional levels and to make an analysis of the legal means of protecting Big Data while regulating relations in the global information society. Methods. A complex of general scientific and philosophical methods, including the logical, comparative-legal, formal-legal, systemic-structural, problematic-theoretical methods, as well as methods of analysis and synthesis, generalisation and description, were used in the research. Findings. The study revealed that the existing international treaties in the field of intellectual property protection do not take into account the peculiarities of the complex objects protection. Under the complex objects of intellectual property, Big Data is meant. There is an objective need to establish a legal regime of information and communication systems as complex objects at a universal level. This can be done by adding a separate act to the Berne Convention for the Protection of Literary and Artistic Works of 1886. Application/Improvements. The findings can be used in activities of international organisations to enhance their unification and harmonisation of the international information law

Big data · Business · Computer security · Data mining · Data Protection Act 1998 · Political science · Computer Science · Digital Transformation in Law · Education, Law, and Society · Legal and Policy Issues · Artificial Intelligence

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Citations per year0.14
Citation span2019 - 2019 (1)
Highly citedNo

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