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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

ISBN: 978-989-758-377-3

Keyword(s): Big Data, Security Issues, Scientific Field, Legislation, Sensitive Data, Open Data, GDPR, Megascience.

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.

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Paper citation in several formats:
Andreasyan, Anastasia; Balyakin, A.; Nurbina, M. and Mukhamedzhanova, A. (2019). Security Issues of Scientific based Big Data Circulation Analysis.In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 168-173. DOI: 10.5220/0007843101680173

@conference{data19,
author={Andreasyan, Anastasia and Artem Balyakin. and Marina Nurbina. and Alina Mukhamedzhanova.},
title={Security Issues of Scientific based Big Data Circulation Analysis},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2019},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007843101680173},
isbn={978-989-758-377-3},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Security Issues of Scientific based Big Data Circulation Analysis
SN - 978-989-758-377-3
AU - Andreasyan, Anastasia
AU - Balyakin, A.
AU - Nurbina, M.
AU - Mukhamedzhanova, A.
PY - 2019
SP - 168
EP - 173
DO - 10.5220/0007843101680173

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