Big Data in Context : : Legal, Social and Technological Insights.
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Place / Publishing House: | Cham : : Springer International Publishing AG,, 2017. Ã2018. |
Year of Publication: | 2017 |
Edition: | 1st ed. |
Language: | English |
Series: | SpringerBriefs in Law Series
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Physical Description: | 1 online resource (122 pages) |
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Hoeren, Thomas. Big Data in Context : Legal, Social and Technological Insights. 1st ed. Cham : Springer International Publishing AG, 2017. Ã2018. 1 online resource (122 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier SpringerBriefs in Law Series 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. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Kolany-Raiser, Barbara. Print version: Hoeren, Thomas Big Data in Context Cham : Springer International Publishing AG,c2017 9783319624600 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5589164 Click to View |
language |
English |
format |
eBook |
author |
Hoeren, Thomas. |
spellingShingle |
Hoeren, Thomas. Big Data in Context : Legal, Social and Technological Insights. SpringerBriefs in Law Series 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. |
author_facet |
Hoeren, Thomas. Kolany-Raiser, Barbara. |
author_variant |
t h th |
author2 |
Kolany-Raiser, Barbara. |
author2_variant |
b k r bkr |
author2_role |
TeilnehmendeR |
author_sort |
Hoeren, Thomas. |
title |
Big Data in Context : Legal, Social and Technological Insights. |
title_sub |
Legal, Social and Technological Insights. |
title_full |
Big Data in Context : Legal, Social and Technological Insights. |
title_fullStr |
Big Data in Context : Legal, Social and Technological Insights. |
title_full_unstemmed |
Big Data in Context : Legal, Social and Technological Insights. |
title_auth |
Big Data in Context : Legal, Social and Technological Insights. |
title_new |
Big Data in Context : |
title_sort |
big data in context : legal, social and technological insights. |
series |
SpringerBriefs in Law Series |
series2 |
SpringerBriefs in Law Series |
publisher |
Springer International Publishing AG, |
publishDate |
2017 |
physical |
1 online resource (122 pages) |
edition |
1st ed. |
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. |
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9783319624617 9783319624600 |
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Electronic books. |
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Electronic books. |
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https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5589164 |
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Not Illustrated |
oclc_num |
1066194009 |
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