PROBLEMS OF PERSONAL DATA PROTECTION WHEN USING BIG DATA TECHNOLOGIES
Abstract
The study analyzes Big Data technologies and considers the role, features and significance of these technologies. The relevance of the research is important because of the large-scale use of Big Data technologies in many areas and the weak legal regulation of the employment of Big Data when using personal data. The purpose of this study is to determine the legal status of Big Data technology, differentiate the concepts of "personal data" and "Big Data technology" and offer practical recommendations on the use of this technology. The methodological basis of the research is legal, statistical, private scientific methods, as well as the methods of case analysis and "snowball". Based on the results of the study, the authors define the "Big Data" technology and "personal data in electronic form". The principles for using Big Data technologies that can be applied in the international legal acts and judicial practice were developed. They are: the legality of collecting personal data in electronic form; electronic data processing in limited ways; prohibition of combining various databases with personal information in electronic form; limited period of storage of personal data in electronic form; free use of information; commercial usage. It is proposed to classify personal information provided electronically on the Internet by citizens into the following categories: personal information open to public; special information on actions; biometric data; confidential personal information.
References
2. Tahiru Azaaviele Liedong, Tazeeb Rajwani, Thomas C. Lawton (2020) Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity. Technological Forecasting and Social Change Volume 157. August 2020.
3. Vichugova A. Big Data and block chain: combo or confrontation? April 7, 2019 https://www.bigdataschool.ru/bigdata/big-data-%D0%B8-%D0%B1%D0%BB%D0%BE%D0%BA%D1%87%D0%B5%D0%B9%D0%BD.html
4. Longfei He, Mei Xue, Bin Gu (2020) Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications. Journal of Management Science and Engineering In press, corrected proof Available online 29 March 2020.
5. Nathaniel D. Line, Tarik Dogru, Dahlia El-Manstrly, Alex Buoye, Jay Kandampully (2020) Control, use and ownership of big data: A reciprocal view of customer big data value in the hospitality and tourism industry. Tourism Management. Volume 80. October 2020.
6. Hengyun Li, Mingming Hu, Gang Li (2020) Forecasting tourism demand with multisource big data. Annals of Tourism Research. Volume 83.July 2020.
7. Anne Gregory, Gregor Halff (2020) The damage done by big data-driven public relations. Public Relations Review Volume 46. Issue 2. June 2020.
8. Heli Hallikainen, Emma Savimäki, Tommi Laukkanen (2020) Fostering B2B sales with customer big data analytics. Industrial Marketing Management. Volume 86. April 2020. Pages 90-98.
9. Karim Moharm (2019) State of the art in big data applications in microgrid: A review Advanced Engineering Informatics. Volume 42. October 2019.
10. Nelson Lozada, Jose Arias-Pérez, Geovanny Perdomo-Charry (2019) Big data analytics capability and co-innovation: An empirical study Heliyon. Volume 5. Issue 10. October 2019.
11. Kirillova, E.A., Pavlyuk, A.V., Mikheyev, A.A. Online contractual process: Status and technology. 2019 International Journal of Recent Technology and Engineering. 8(1) 2234-2240.
12. Xin Li, Rob Law (2020) Network analysis of big data research in tourism. Tourism Management Perspectives. Volume 33. January 2020.
13. Vagelis Papakonstantinou, Paul de Hert (2020) Big data analytics in electronic communications: A reality in need of granular regulation (even if this includes an interim period of no regulation at all). Computer Law & Security Review. Volume 36. April 2020.
14. Ajay Major, Suzanne M. Cox, Samuel L. Volchenboum (2020) Using big data in pediatric oncology: Current applications and future directions. Seminars in Oncology. Volume 47. Issue 1 February 2020. Pages 56-64.
15. Robert Northcott (2019) Big data and prediction: Four case studies. Studies in History and Philosophy of Science Part AIn press, corrected proof Available online 12 September 2019.