Editors:

Thomas Hoeren⁰,
Barbara Kolany-Raiser¹

Thomas Hoeren
1. Institute for Information, Telecommunication and Media Law, University of Münster, Münster, Germany
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Barbara Kolany-Raiser
1. Institute for Information, Telecommunication and Media Law, University of Münster, Münster, Germany
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Offers an interdisciplinary perspective, combining legal, economic and sociological aspects
Pursues an introductory approach, highlighting the most relevant big data topics in brief
Addresses both theoretical and practical aspects
Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Law (BRIEFSLAW)

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Table of contents (12 chapters)

Front Matter

Pages i-xii

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Big Data and Data Quality
- Thomas Hoeren
Pages 1-12Open Access
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The Importance of Big Data for Jurisprudence and Legal Practice
- Christian Döpke
Pages 13-19Open Access
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About Forgetting and Being Forgotten
- Nicolai Culik, Christian Döpke
Pages 21-27Open Access
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Brussels Calling: Big Data and Privacy
- Nicolai Culik
Pages 29-35Open Access
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Safe Harbor: The Decision of the European Court of Justice
- Andreas Börding
Pages 37-45Open Access
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Education 2.0: Learning Analytics, Educational Data Mining and Co.
- Tim Jülicher
Pages 47-53Open Access
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Big Data and Automotive—A Legal Approach
- Max v. Schönfeld
Pages 55-61Open Access
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Big Data and Scoring in the Financial Sector
- Stefanie Eschholz, Jonathan Djabbarpour
Pages 63-71Open Access
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Like or Dislike—Web Tracking
- Charlotte Röttgen
Pages 73-80Open Access
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Step into “The Circle”—A Close Look at Wearables and Quantified Self
- Tim Jülicher, Marc Delisle
Pages 81-91Open Access
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Big Data and Smart Grid
- Max v. Schönfeld, Nils Wehkamp
Pages 93-107Open Access
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Big Data on a Farm—Smart Farming
- Max v. Schönfeld, Reinhard Heil, Laura Bittner
Pages 109-120Open Access
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About this book

This book is open access under a CC BY 4.0 license.

This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.

All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.

This volume was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions expressed in this book reflect only the authors’ point of view and not necessarily those of all members of the ABIDA project or the Federal Ministry of Education and Research.

Keywords

Smart farming
Data accuracy
Privacy
Surveillance
Safe harbor
Smart car
Smart grid
Webtracking
Data protection
Selftracking
Educational data mining
Wearables
Data quality
Predictive analytics
Open access

Editors and Affiliations

Institute for Information, Telecommunication and Media Law, University of Münster, Münster, Germany

Thomas Hoeren, Barbara Kolany-Raiser

Bibliographic Information

Book Title: Big Data in Context
Book Subtitle: Legal, Social and Technological Insights
Editors: Thomas Hoeren, Barbara Kolany-Raiser
Series Title: SpringerBriefs in Law
DOI: https://doi.org/10.1007/978-3-319-62461-7
Publisher: Springer Cham
eBook Packages: Law and Criminology, Law and Criminology (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018
License: CC BY
Softcover ISBN: 978-3-319-62460-0Published: 25 October 2017
eBook ISBN: 978-3-319-62461-7Published: 17 October 2017
Series ISSN: 2192-855X
Series E-ISSN: 2192-8568
Edition Number: 1
Number of Pages: XII, 120
Topics: IT Law, Media Law, Intellectual Property, Data Analysis and Big Data, Data Mining and Knowledge Discovery, European Law, Legal Aspects of Computing