The issues of implementing legislation on personal data in the era of big data

2020 ◽  
pp. 319-326
Author(s):  
Ekaterina Shebunova
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Nonprofit Organizations ◽  
Personal Data ◽  
Legal Regulation ◽  
Financial Control ◽  
Large Databases ◽  
The Impact ◽  
The Given ◽  
Improved Methods

We consider the impact of automation processes on the implementation of external financial control. We study the practical application features of new sources of data analysis – state information systems. In particular, the legal regulation of the functioning of such systems and their use for financial control purposes. We present methods for collecting and analyzing big data in order to improve the legal regulation of the budgetary process, as well as the law enforcement practice of using big data arising in the process of digitalization of the control and supervisory activities of external financial control bodies. We focus on the fact that big data analysis methods (for ex-ample, spatial analysis, social network analysis, machine learning, etc.) can be used to implement state financial control over the activities of nonprofit organizations. We find that improved methods of collecting and analyzing data helps not only to respond flexibly to sudden changes and make faster and more accurate decisions, but also to use large databases, which, in turn, allows us to move from monitoring the legality of spending to analyzing the effectiveness of use financial resources of the state. Based on the given ex-amples, we conclude that automation contributes to improving the methods of state financial control.

scholarly journals Solutions to Big Data Privacy and Security Challenges Associated With COVID-19 Surveillance Systems

2021 ◽  
Vol 4 ◽  
Author(s):  
Vibhushinie Bentotahewa ◽  
Chaminda Hewage ◽  
Jason Williams
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Personal Data ◽  
Surveillance Systems ◽  
Privacy Rights ◽  
Personal Privacy ◽  
Privacy And Security ◽  
Digital Surveillance ◽  
Feasible Solutions ◽  
The Impact

The growing dependency on digital technologies is becoming a way of life, and at the same time, the collection of data using them for surveillance operations has raised concerns. Notably, some countries use digital surveillance technologies for tracking and monitoring individuals and populations to prevent the transmission of the new coronavirus. The technology has the capacity to contribute towards tackling the pandemic effectively, but the success also comes at the expense of privacy rights. The crucial point to make is regardless of who uses and which mechanism, in one way another will infringe personal privacy. Therefore, when considering the use of technologies to combat the pandemic, the focus should also be on the impact of facial recognition cameras, police surveillance drones, and other digital surveillance devices on the privacy rights of those under surveillance. The GDPR was established to ensure that information could be shared without causing any infringement on personal data and businesses; therefore, in generating Big Data, it is important to ensure that the information is securely collected, processed, transmitted, stored, and accessed in accordance with established rules. This paper focuses on Big Data challenges associated with surveillance methods used within the COVID-19 parameters. The aim of this research is to propose practical solutions to Big Data challenges associated with COVID-19 pandemic surveillance approaches. To that end, the researcher will identify the surveillance measures being used by countries in different regions, the sensitivity of generated data, and the issues associated with the collection of large volumes of data and finally propose feasible solutions to protect the privacy rights of the people, during the post-COVID-19 era.

scholarly journals Methods of big data definition: Russian and foreign experience

2021 ◽  
pp. 143-157
Author(s):  
Kseniia Antipova
Keyword(s):  
Big Data ◽  
Russian Federation ◽  
Personal Data ◽  
Legal Regulation ◽  
The European Union ◽  
Legal Doctrine ◽  
Original Definition ◽  
Data Definition ◽  
The Russian Federation

This article explores the main approaches of Russian and foreign authors towards big data definition; reflects the classification of data, components of big data; and provides comparative characteristics to legal regulation of big data. The subject of this research is the legislation of the Russian Federation and legislation of the European Union that regulate the activity on collection, processing and use of big data, personal data and information; judicial and arbitration practice of the Russian Federation in the sphere of personal data; normative legal acts of the Russian Federation; governmental regulation of the Russian Federation and foreign countries in the area of processing, use and transmission of data; as well as legal doctrine in the field of research dedicated to the nature of big data. The relevance of this research is substantiated by the fact that there is yet no conceptual uniformity with regards to big data in the world; the essence and methods of regulating big data are not fully explored. The goal of this research is determine the legal qualification of the data that comprise big data. The task lies in giving definition to the term “big data”; demonstrate the approaches towards determination of legal nature of big data; conduct  classification of big data; outline the criteria for distinguishing data that comprise the concept of big data; formulate the model for optimal regulation of relations in the process of activity on collection, processing, and use of the data. The original definition of big data in the narrow and broad sense is provided. As a result, the author distinguishes the types of data, reflects the legal qualification of data depending on the category of data contained therein: industrial data, user data, and personal data. Attention is also turned to the contractual form of big data circulation.

scholarly journals Methodology for Measuring the Impact of the Privacy Protection Law on the Use of Big Data

2021 ◽  
Vol 15 ◽  
pp. 62-66
Author(s):  
Oh Ky U-Cheol
Keyword(s):  
Big Data ◽  
Stock Prices ◽  
Privacy Protection ◽  
Turning Point ◽  
Personal Information ◽  
Legal Regulation ◽  
Technical Innovation ◽  
Smart Devices ◽  
Ict Revolution ◽  
The Impact

The ICT revolution triggered by the emergence of smart devices, typically represented by the iPhone and the iPad, is migrating into the new domain of ‘big data’ after passing the turning point of ‘SNS Life,’ which is represented by Twitter and FaceBook among others. These developments have brought significant changes in all areas of politics, economy and culture. The stock prices of Apple, Samsung Electronics, FaceBook and Google fluctuate depending on who takes the hegemony in the changes. Meanwhile, such a reform of the ICT sector has generated some new undesirable sideeffects, including online disclosure of personal information, malicious comments, Smishing or other forms of financial scams. As we cannot abandon either big data or privacy protection, it is critical to find a compromise. It seems both evident and selfexplanatory that the use of big data, which is attributable to technical innovation, conflicts with privacy protection based on the idea that individuals should be allowed to determine the disclosure or not of their personal information. Yet, the problem here is that the discussion of countermeasures remains at the level of catching the wind with a net. Therefore, this paper intends to present a framework that can objectively verify what impact the enhanced legal regulation concerning privacy protection has on the use of big data as the first step in exploring a compromise between the use of big data and privacy protection.

Application of Statistical Analysis Tools and Concepts to Big Data and Predictive Analytics to New Product Development

2020 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Brian J. Galli
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analysis ◽  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Big Data Analysis ◽  
Life Cycles ◽  
The Impact

In today's fiercely competitive environment, most companies face the pressure of shorter product life cycles. Therefore, if companies want to maintain a competitive advantage in the market, they need to keep innovating and developing new products. If not, then they will face difficulties in developing and expanding markets and may go out of business. New product development is the key content of enterprise research and development, and it is also one of the strategic cores for enterprise survival and development. The success of new product development plays a decisive role both in the development of the company and in maintaining a competitive advantage in the industry. Since the beginning of the 21st century, with the continuous innovation and development of Internet technology, the era of big data has arrived. In the era of big data, enterprises' decision-making for new product development no longer solely relies on the experience of decision-makers; it is based on the results of big data analysis for more accurate and effective decisions. In this thesis, the case analysis is mainly carried out with Company A as an example. Also, it mainly introduces the decision made by Company A in the actual operation of new product development, which is based on the results of big data analysis from decision-making to decision-making innovation. The choice of decision-making is described in detail. Through the introduction of the case, the impact of big data on the decision-making process for new product development was explored. In the era of big data, it provides a new theoretical approach to new product development decision-making.

scholarly journals A Big Data Analysis on Distributed File Storage System

2019 ◽  
Vol 9 (2) ◽  
pp. 2383-2388
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Storage System ◽  
Real Life ◽  
File Systems ◽  
Big Data Analysis ◽  
Distributed File Systems ◽  
File Storage ◽  
Recent Developments ◽  
The Impact

Nowadays, the digital technologies and information systems (i.e. cloud computing and Internet of Things) generated the vast data in terabytes to extract the knowledge for making a better decision by the end users. However, these massive data require a large effort of researchers at multiple levels to analyze for decision making. To find a better development, researchers concentrated on Big Data Analysis (BDA), but the traditional databases, data techniques and platforms suffers from storage, imbalance data, scalability, insufficient accuracy, slow responsiveness and scalability, which leads to very less efficiency in Big Data (BD) context. Therefore, the main objective of this research is to present a generalized view of complete BD system that consists of various stages and major components of every stage to process the BD. In specific, the data management process describes the NoSQL databases and different Parallel Distributed File Systems (PDFS) and then, the impact of challenges, analyzed for BD with recent developments provides a better understanding that how different tools and technologies apply to solve real-life applications.

scholarly journals Dampak Pembukaan Kawasan Hutan Terhadap Erosi

2019 ◽  
Vol 2 (1) ◽  
pp. 6-10
Author(s):  
Sari Mayawati ◽  
Jumri
Keyword(s):  
Data Analysis ◽  
Negative Impact ◽  
Legal Regulation ◽  
Analysis Tool ◽  
Field Observations ◽  
Forest Environment ◽  
Forest Clearing ◽  
Tropical Forest Management ◽  
Data Analysis Tool ◽  
The Impact

Landasan konstitusional untuk pengolahan hutan tropis di Indonesia merupakan peraturan hukum Indonesia yang tercantum pada UURI no.: 41/1999 yang berisikan ketentuan perihal Kehutanan. Dalam pembukaan suatu areal rimba yang dilakukan oleh perusaha an kehutanan atau non kehutanan tentu akan berdampak positif maupun negatif terhadap lingkungan hutan itu sendiri. Tujuan penelitian ini adalah menganalisis dampak yang terjadi khususnya nilai erosi yang disebabkan dari kegiatan pembukaan hutan/ eksploitasi. Adapun untuk mendapatkan data pembukaan kawasan hutan terhadap erosi dilakukan dengan cara wawancara kepada perwakilan yang terpilih di dalam penelitian ini sekaligus melakukan pengamatan lapangan. Alat analisis data menggunakan [6]: Kae(Rp)= (Nda +Ndp+Ndn). Hasil penelitian menunjukkan nilai kerugiaan erosi akibat dampak pembukaan kawasan hutan perhektar sebesar Rp. 99.469.076.   The constitutional foundation for tropical forest management in Indonesia is an Indonesian legal regulation listed in the UURI no .: 41/1999  which contains provisions regarding Forestry.   In the opening of a jungle area carried out  by forestry or  non-forestry companies, it will certainly have a positive and negative impact on the forest  environment itself.  The purpose  of this study is to analyze  the  impacts  that  occur especially on  the  value  of  erosion  caused  by forest  clearing / exploitation  activities.  As for obtaining data on the opening of forest areas to erosion, interviews were conducted with representatives selected in this study and at the  same time  conducting  field  observations.   The data analysis tool uses [6] :  Kae (Rp) = (Nda + Ndp + Ndn).   The results showed the value of erosion losses due to the impact of the opening of one hectare forest area of Rp. 99,469,076.

scholarly journals Research on the Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on the Global Trade Economy Based on Big Data Analysis

2021 ◽  
Vol 33 (6) ◽  
pp. 1-18
Author(s):  
Jianfei Li ◽  
Juxing Li ◽  
Jin Ji ◽  
Shengjun Meng
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Industrial Development ◽  
Modern Society ◽  
Big Data Analysis ◽  
Development Pattern ◽  
Global Trade ◽  
Global Trend ◽  
Study Results ◽  
The Impact

The coronavirus disease 2019 (COVID-19) epidemic that began in early 2020 quickly formed a global trend, bringing unprecedented shocks to many countries’ and even the global trade economy. Big data is the main feature of the Internet era, which has transformed the industrial development pattern of modern society and has now flourished in the field of trade economy; therefore, it is of great significance to apply the big data analysis technology to study the impact of the COVID-19 epidemic on the global trade economy. On the basis of summarizing and analyzing previous research works, this paper, expounded the research status and significance of the impact of the COVID-19 epidemic on the global trade economy, elaborated the development background, The study results of this paper provide a reference for further researches on the impact of the impact of the COVID-19 epidemic on the global trade economy based on big data analysis.

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.

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