scholarly journals Depersonalization of personal data and «big data» technology (bigdata)

2017 ◽  
pp. 78-80
Author(s):  
Tatiana Vladimirovna Mavrinskaya ◽  
◽  
Andrey Viktorovich Loshkaroyv ◽  
Ekaterina Nikolavna Churakova ◽  
◽  
...  
Keyword(s):  
Big Data ◽  
Personal Data ◽  
Big Data Technology

scholarly journals The Problems of the Legal Regulation of Big Data

Legal Concept ◽  
2021 ◽  
pp. 155-160
Author(s):  
Alexey Churilov ◽  
Keyword(s):  
Big Data ◽  
Technological Development ◽  
Personal Data ◽  
Legal Regulation ◽  
Systematic Method ◽  
Public Interests ◽  
Private And Public ◽  
Processing Information ◽  
Method Analysis ◽  
Big Data Technology

Introduction: the development of technologies for collecting and processing information gave rise to the emergence of a recent phenomenon on the market – Big Data, which is in a certain conflict with the current legislation on personal data. Objective: to study the problems and features of the legal regulation of Big Data considering their technological features. Methods: the methodological basis of the study is a set of methods of scientific knowledge, among which the primary place is occupied by the methods of historicism, systematic method, analysis. Results: the problems of compliance of the current regulation of relations regarding personal data with the realities of the technological development of society were analyzed, including the compliance of Big Data technology with the general principles of processing personal data, reflected in both domestic and foreign legislation. Conclusions: the author concludes that regulation of personal data lags the needs of entrepreneurs using Big Data in their work, and the need for a careful choice of a model for the legal regulation of relations arising from the use of this technology to achieve a balance of private and public interests.

scholarly journals Legal status and principles of using Big Data technology (Big Data)

2021 ◽  
Vol 2 ◽  
pp. 68-69
Author(s):  
E.A. Kirillova ◽  
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Legal Status ◽  
Personal Data ◽  
Legal Regulation ◽  
Electronic Form ◽  
Big Data Technologies ◽  
Definition Of ◽  
Big Data Technology

The study analyzes the legal status and principles of Big Data technology, considers the role, features and significance of these technologies. The relevance of the research is dictated by the large-scale use of Big Data technologies in many areas and the weak legal regulation of the use of Big Data using personal data. The purpose of this study is to determine the legal status of Big Data technology and differentiate the concepts of ‘personal data’ and ‘Big Data technologies’. The study author’s definition of technology ‘Big Data’ and ‘personal data in electronic form’, developed principles for the use of Big Data technologies.

scholarly journals Violation of privacy when using Big Data technologies

2019 ◽  
pp. 143-147
Author(s):  
Татьяна Пинкевич ◽  
Tat'yana Pinkevich ◽  
Андрей Нестеренко ◽  
Andrey Nesterenko
Keyword(s):  
Big Data ◽  
Private Information ◽  
Personal Information ◽  
Criminal Liability ◽  
Personal Data ◽  
Main Obstacle ◽  
Big Data Technologies ◽  
The Law ◽  
Negative Factors ◽  
Big Data Technology

The article deals with the problematic issues related to the use of Big Data technology, as well as the positive and negative factors of the Big Data influence on the personal life of citizens. The authors come to the conclusion that in the absence of the law on the regulation of Big Data, the main obstacle to the abuse of private information of citizens is the Law on personal data. However, legitimate consent to the processing of personal data, their depersonalization, enshrined in the law, do not provide adequate protection of personal data from use by third parties. Therefore, serious study is required on the introduction of criminal liability for the use of personal information of individuals, using the technology of Big Data, which led to the violation of privacy.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

scholarly journals Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera
Keyword(s):  
Big Data ◽  
Inclusive Education ◽  
Sustainable Development Goals ◽  
Sustainable Society ◽  
Education Students ◽  
The Sustainable Development ◽  
Research Goal ◽  
Development Goals ◽  
Nonprobability Sample ◽  
Big Data Technology

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.

scholarly journals Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology

2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Prevention And Control ◽  
And Control ◽  
Big Data Technology

scholarly journals Record linkage of routine data with cohorts’ data of infants under European and Portuguese law

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Doetsch ◽  
I Lopes ◽  
R Redinha ◽  
H Barros
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Data Protection ◽  
Record Linkage ◽  
Data Science ◽  
Personal Data ◽  
Routine Data ◽  
Cohort Data ◽  
Education Data ◽  
Explicit Consent

Abstract The usage and exchange of “big data” is at the forefront of the data science agenda where Record Linkage plays a prominent role in biomedical research. In an era of ubiquitous data exchange and big data, Record Linkage is almost inevitable, but raises ethical and legal problems, namely personal data and privacy protection. Record Linkage refers to the general merging of data information to consolidate facts about an individual or an event that are not available in a separate record. This article provides an overview of ethical challenges and research opportunities in linking routine data on health and education with cohort data from very preterm (VPT) infants in Portugal. Portuguese, European and International law has been reviewed on data processing, protection and privacy. A three-stage analysis was carried out: i) interplay of threefold law-levelling for Record Linkage at different levels; ii) impact of data protection and privacy rights for data processing, iii) data linkage process' challenges and opportunities for research. A framework to discuss the process and its implications for data protection and privacy was created. The GDPR functions as utmost substantial legal basis for the protection of personal data in Record Linkage, and explicit written consent is considered the appropriate basis for the processing sensitive data. In Portugal, retrospective access to routine data is permitted if anonymised; for health data if it meets data processing requirements declared with an explicit consent; for education data if the data processing rules are complied. Routine health and education data can be linked to cohort data if rights of the data subject and requirements and duties of processors and controllers are respected. A strong ethical context through the application of the GDPR in all phases of research need to be established to achieve Record Linkage between cohort and routine collected records for health and education data of VPT infants in Portugal. Key messages GDPR is the most important legal framework for the protection of personal data, however, its uniform approach granting freedom to its Member states hampers Record Linkage processes among EU countries. The question remains whether the gap between data protection and privacy is adequately balanced at three legal levels to guarantee freedom for research and the improvement of health of data subjects.

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