Big Data Ethics in Research

The main problems faced by scientists in working with Big Data sets, highlighting the main ethical issues, taking into account the legislation of the European Union. After a brief Introduction to Big Data, the Technology section presents specific research applications. There is an approach to the main philosophical issues in Philosophical Aspects, and Legal Aspects with specific ethical issues in the EU Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive - General Data Protection Regulation, "GDPR"). The Ethics Issues section details the specific aspects of Big Data. After a brief section of Big Data Research, I finalize my work with the presentation of Conclusions on research ethics in working with Big Data.

CONTENTS:

Abstract
1. Introduction
- 1.1 Definitions
- 1.2 Big Data dimensions
2. Technology
- 2.1 Applications
- - 2.1.1 In research
3. Philosophical aspects
4. Legal aspects
- 4.1 GDPR
- - Stages of processing of personal data
- - Principles of data processing
- - Privacy policy and transparency
- - Purposes of data processing
- - Design and implicit confidentiality
- - The (legal) paradox of Big Data
5. Ethical issues
- Ethics in research
- Awareness
- Consent
- Control
- Transparency
- Trust
- Ownership
- Surveillance and security
- Digital identity
- Tailored reality
- De-identification
- Digital inequality
- Privacy
6. Big Data research
Conclusions
Bibliography

DOI: 10.13140/RG.2.2.11054.46401

1133589500
Big Data Ethics in Research

The main problems faced by scientists in working with Big Data sets, highlighting the main ethical issues, taking into account the legislation of the European Union. After a brief Introduction to Big Data, the Technology section presents specific research applications. There is an approach to the main philosophical issues in Philosophical Aspects, and Legal Aspects with specific ethical issues in the EU Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive - General Data Protection Regulation, "GDPR"). The Ethics Issues section details the specific aspects of Big Data. After a brief section of Big Data Research, I finalize my work with the presentation of Conclusions on research ethics in working with Big Data.

CONTENTS:

Abstract
1. Introduction
- 1.1 Definitions
- 1.2 Big Data dimensions
2. Technology
- 2.1 Applications
- - 2.1.1 In research
3. Philosophical aspects
4. Legal aspects
- 4.1 GDPR
- - Stages of processing of personal data
- - Principles of data processing
- - Privacy policy and transparency
- - Purposes of data processing
- - Design and implicit confidentiality
- - The (legal) paradox of Big Data
5. Ethical issues
- Ethics in research
- Awareness
- Consent
- Control
- Transparency
- Trust
- Ownership
- Surveillance and security
- Digital identity
- Tailored reality
- De-identification
- Digital inequality
- Privacy
6. Big Data research
Conclusions
Bibliography

DOI: 10.13140/RG.2.2.11054.46401

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Big Data Ethics in Research

Big Data Ethics in Research

by Nicolae Sfetcu
Big Data Ethics in Research

Big Data Ethics in Research

by Nicolae Sfetcu

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Overview

The main problems faced by scientists in working with Big Data sets, highlighting the main ethical issues, taking into account the legislation of the European Union. After a brief Introduction to Big Data, the Technology section presents specific research applications. There is an approach to the main philosophical issues in Philosophical Aspects, and Legal Aspects with specific ethical issues in the EU Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive - General Data Protection Regulation, "GDPR"). The Ethics Issues section details the specific aspects of Big Data. After a brief section of Big Data Research, I finalize my work with the presentation of Conclusions on research ethics in working with Big Data.

CONTENTS:

Abstract
1. Introduction
- 1.1 Definitions
- 1.2 Big Data dimensions
2. Technology
- 2.1 Applications
- - 2.1.1 In research
3. Philosophical aspects
4. Legal aspects
- 4.1 GDPR
- - Stages of processing of personal data
- - Principles of data processing
- - Privacy policy and transparency
- - Purposes of data processing
- - Design and implicit confidentiality
- - The (legal) paradox of Big Data
5. Ethical issues
- Ethics in research
- Awareness
- Consent
- Control
- Transparency
- Trust
- Ownership
- Surveillance and security
- Digital identity
- Tailored reality
- De-identification
- Digital inequality
- Privacy
6. Big Data research
Conclusions
Bibliography

DOI: 10.13140/RG.2.2.11054.46401


Product Details

BN ID: 2940163337385
Publisher: Nicolae Sfetcu
Publication date: 09/14/2019
Sold by: Smashwords
Format: eBook
File size: 47 KB

About the Author

Owner and manager with MultiMedia SRL and MultiMedia Publishing House.

Project Coordinator for European Teleworking Development Romania (ETD)

Member of Rotary Club Bucuresti Atheneum

Cofounder and ex-president of the Mehedinti Branch of Romanian Association for Electronic Industry and Software

Initiator, cofounder and president of Romanian Association for Telework and Teleactivities

Member of Internet Society

Initiator, cofounder and ex-president of Romanian Teleworking Society

Cofounder and ex-president of the Mehedinti Branch of the General Association of Engineers in Romania

Physicist engineer - Bachelor of Science (Physics, Major Nuclear Physics). Master of Philosophy.

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