Big Data in Context : Legal, Social and Technological Insights.

Bibliographic Details
Main Author: Hoeren, Thomas.
Other Authors: Kolany-Raiser, Barbara.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2017.
Edition:1st ed.
Series:SpringerBriefs in Law Series
Subjects:
Online Access:Click to View
Table of Contents:
  • Intro
  • Preface
  • Acknowledgements
  • Contents
  • Editors and Contributors
  • 1 Big Data and Data Quality
  • Abstract
  • 1 Introduction
  • 2 Background to Data Quality
  • 2.1 Origin Country: The USA
  • 2.2 The OECD Guidelines 1980
  • 2.3 Art. 6 of the EU Data Protection Directive and its Impact in Canada
  • 3 Data Quality in the GDPR
  • 3.1 Remarkably: Art. 5 as Basis for Fines
  • 3.2 Relation to the Rights of the Data Subject
  • 3.3 Data Quality and Lawfulness of Processing
  • 3.4 Art. 5-An Abstract Strict Liability Tort?
  • 4 Conclusions
  • References
  • 2 The Importance of Big Data for Jurisprudence and Legal Practice
  • Abstract
  • 1 Introduction
  • 2 Selected Issues (and the Attempt to a Solution)
  • 2.1 The Legal Institution "Declaration of Intent"
  • 2.2 Challenges Regarding Liability
  • 3 Conclusion
  • References
  • 3 About Forgetting and Being Forgotten
  • Abstract
  • 1 Introduction
  • 2 The Current Legal Situation in Germany
  • 3 Standards of the ECJ
  • 4 The General Data Protection Regulation
  • 5 The Complex Tangle of Interests
  • 6 Enforcement of the Claim
  • 7 Conclusion
  • References
  • 4 Brussels Calling: Big Data and Privacy
  • Abstract
  • 1 Data Protection on the EU-Level
  • 2 Genesis of the General Data Protection Regulation
  • 3 General Criticism of the General Data Protection Regulation
  • 4 Possible Consequences for Big Data
  • 5 Conclusion and Outlook
  • References
  • 5 Safe Harbor: The Decision of the European Court of Justice
  • Abstract
  • 1 Unrestricted Data Collection
  • 2 The Safe-Harbor Agreement of the European Union
  • 3 The Decision of the European Court of Justice
  • 4 Consequences of the Decision
  • 5 Practical Implementation
  • 5.1 Consent
  • 5.2 Data Protection Safeguards
  • 5.3 Binding Corporate Rules
  • 6 State of Debate
  • 7 Outlook
  • References.
  • 6 Education 2.0: Learning Analytics, Educational Data Mining and Co.
  • Abstract
  • 1 Digitization in Educational Institutions
  • 2 The Future of Education-Predictions and Benchmarking
  • 3 Educational Data Mining and Learning Analytics
  • 4 Stakeholder
  • 5 Data Sources and Data Protection
  • 6 Summary and Challenges
  • References
  • 7 Big Data and Automotive-A Legal Approach
  • Abstract
  • 1 Occasion and Questions
  • 2 What Kind of Data Does Modern IT Collect?
  • 3 An Overview of Data Protection Classification
  • 4 What Parties Are Interested-Who Wants a Slice of Data Cake?
  • 5 To Whom Does the Data "Belong?"
  • 6 Are Driverless Cars Science Fiction? By No Means!
  • 7 Solutions-"Privacy by Design"
  • 8 Opportunities and Risks
  • References
  • 8 Big Data and Scoring in the Financial Sector
  • Abstract
  • 1 Introduction
  • 2 Scoring Procedure
  • 3 Scoring in the Big Data Era
  • 4 Risks and Chances
  • 5 Legal Situation
  • 6 Prospect
  • References
  • 9 Like or Dislike-Web Tracking
  • Abstract
  • 1 Web Tracking-A Definition
  • 2 What Types of Web Tracking Technologies Exist?
  • 3 How to Avoid Being Tracked
  • 4 The Example of Facebook
  • 5 Summary and Outlook
  • References
  • 10 Step into "The Circle"-A Close Look at Wearables and Quantified Self
  • Abstract
  • 1 Introduction
  • 2 What Are Wearables?
  • 3 Facts and Figures
  • 4 Kinds of Data Generated
  • 4.1 Usage Data
  • 4.2 Metadata
  • 5 What Is the Data Used for?
  • 6 Legal and Social Implications
  • 6.1 Data Protection
  • 6.2 Liability
  • 6.3 IT Security
  • 6.4 Data Quality, Portability and Property
  • 7 Conclusion
  • References
  • 11 Big Data and Smart Grid
  • Abstract
  • 1 The Energy Grid of the Future
  • 2 Smart Grid-The Basic Principles
  • 2.1 Smart Grid-A Definition
  • 2.2 Which Data Are Required?
  • 2.3 Smart Meter-The Electricity Meter with an Internet Connection.
  • 2.4 Impeding Ability to Draw Conclusions
  • 2.5 Smart Market
  • 2.6 Variable Tariffs and Its Profiteers
  • 3 Legal Framework
  • 3.1 Regulation in the USA and Europe-An Overview
  • 3.2 Legal Implications and Concerned Areas of Law
  • 3.3 The Smart Meter in the German Household
  • 3.4 Aspects of Data Protection
  • 3.5 The Draft Law on the Digitalization of the Energy Revolution
  • 3.6 General Questions Regarding the Legal Treatment of Data in the Big Data Era
  • 4 Summary and Outlook
  • References
  • 12 Big Data on a Farm-Smart Farming
  • Abstract
  • 1 World Nutrition Using Big Data?
  • 2 Smart Farming
  • 3 Smart Farming Technologies
  • 4 Social Implications
  • 5 Legal Implications
  • 6 Which Areas of Law Are Affected?
  • 6.1 Data Protection Law
  • 6.2 Intellectual Property Rights Protection Shown by the Example of Database Manufacturers
  • 6.3 Overarching Questions for Industry 4.0
  • 7 Conclusion and Forecast
  • References.