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

Saved in:
Bibliographic Details
Superior document:SpringerBriefs in Law Series
:
TeilnehmendeR:
Place / Publishing House:Cham : : Springer International Publishing AG,, 2017.
Ã2018.
Year of Publication:2017
Edition:1st ed.
Language:English
Series:SpringerBriefs in Law Series
Online Access:
Physical Description:1 online resource (122 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5005589164
ctrlnum (MiAaPQ)5005589164
(Au-PeEL)EBL5589164
(OCoLC)1066194009
collection bib_alma
record_format marc
spelling 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.
isbn 9783319624617
9783319624600
callnumber-first K - Law
callnumber-subject K - General Law
callnumber-label K4240-4343
callnumber-sort K 44240 44343
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5589164
illustrated Not Illustrated
oclc_num 1066194009
work_keys_str_mv AT hoerenthomas bigdataincontextlegalsocialandtechnologicalinsights
AT kolanyraiserbarbara bigdataincontextlegalsocialandtechnologicalinsights
status_str n
ids_txt_mv (MiAaPQ)5005589164
(Au-PeEL)EBL5589164
(OCoLC)1066194009
carrierType_str_mv cr
hierarchy_parent_title SpringerBriefs in Law Series
is_hierarchy_title Big Data in Context : Legal, Social and Technological Insights.
container_title SpringerBriefs in Law Series
author2_original_writing_str_mv noLinkedField
marc_error Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ]
_version_ 1792331055048425472
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>06243nam a22004333i 4500</leader><controlfield tag="001">5005589164</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073831.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2017 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783319624617</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9783319624600</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5005589164</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL5589164</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1066194009</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">K4240-4343</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hoeren, Thomas.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big Data in Context :</subfield><subfield code="b">Legal, Social and Technological Insights.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham :</subfield><subfield code="b">Springer International Publishing AG,</subfield><subfield code="c">2017.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">Ã2018.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (122 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">SpringerBriefs in Law Series</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kolany-Raiser, Barbara.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Hoeren, Thomas</subfield><subfield code="t">Big Data in Context</subfield><subfield code="d">Cham : Springer International Publishing AG,c2017</subfield><subfield code="z">9783319624600</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">SpringerBriefs in Law Series</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5589164</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>