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Big data in context : legal, social and technological insights / edited by Thomas Hoeren and Barbara Kolany-Raiser.

Contributor(s): Hoeren, Thomas, 1961- [editor] | Kolany-Raiser, Barbara [editor].
Material type: Computer fileComputer fileSeries: SpringerBriefs in law.Publisher: Cham, Switzerland : Springer, 2018Description: 1 electronic resource (xii, 120 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9783319624600 (pbk.); 3319624601 (pbk.); 9783319624617 (ebk. : PDF); 331962461X (ebk. : PDF).Uniform titles: Big Data zwischen Kausalität und Korrelation : wirtschaftliche und rechtliche Fragen der Digitalisierung 4.0. DDC classification: 005.7 Online resources: Full text (SpringerLink)
Contents:
MACHINE-GENERATED CONTENTS NOTE: Preface – Acknowledgements – Editors and Contributors -- Thomas Hoeren, Big Data and Data Quality -- Christian Döpke, The Importance of Big Data for Jurisprudence and Legal Practice -- Nicolai Culik and Christian Döpke, About Forgetting and Being Forgotten -- Nicolai Culik, Brussels Calling: Big Data and Privacy -- Andreas Börding, Safe Harbor: The Decision of the European Court of Justice -- Tim Jülicher, Education 2.0: Learning Analytics, Educational Data Mining and Co. -- Max v. Schönfeld, Big Data and Automotive: A Legal Approach -- Stefanie Eschholz and Jonathan Djabbarpour, Big Data and Scoring in the Financial Sector -- Charlotte Röttgen, Like or Dislike: Web Tracking -- Tim Jülicher and Marc Delisle, Step into The Circle: A Close Look at Wearables and Quantified Self -- Max v. Schönfeld and Nils Wehkamp, Big Data and Smart Grid -- Max v. Schönfeld, Reinhard Heil and Laura Bittner, Big Data on a Farm: Smart Farming.
Summary: MACHINE-GENERATED SUMMARY NOTE: "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." -- Provided by publisher.
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Current location Collection Call number Status Date due Barcode
Klingemann Library
BUSINESS -- Computer science, data science 005.7 H6719 2018 e-res (Browse shelf) Available as electronic resource -- please see link "Full text" above 2019-0420

BIBLIOGRAPHY NOTE: includes bibliographical references.

MACHINE-GENERATED CONTENTS NOTE:
Preface –
Acknowledgements –
Editors and Contributors --
Thomas Hoeren, Big Data and Data Quality --
Christian Döpke, The Importance of Big Data for Jurisprudence and Legal Practice --
Nicolai Culik and Christian Döpke, About Forgetting and Being Forgotten --
Nicolai Culik, Brussels Calling: Big Data and Privacy --
Andreas Börding, Safe Harbor: The Decision of the European Court of Justice --
Tim Jülicher, Education 2.0: Learning Analytics, Educational Data Mining and Co. --
Max v. Schönfeld, Big Data and Automotive: A Legal Approach --
Stefanie Eschholz and Jonathan Djabbarpour, Big Data and Scoring in the Financial Sector --
Charlotte Röttgen, Like or Dislike: Web Tracking --
Tim Jülicher and Marc Delisle, Step into The Circle: A Close Look at Wearables and Quantified Self --
Max v. Schönfeld and Nils Wehkamp, Big Data and Smart Grid --
Max v. Schönfeld, Reinhard Heil and Laura Bittner, Big Data on a Farm: Smart Farming.

ACCESS NOTE:
"This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder."
-- Title page verso.

MACHINE-GENERATED SUMMARY NOTE:
"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."
-- Provided by publisher.

LANGUAGE NOTE: translation from the German language edition: Big Data zwischen Kausalität und Korrelation : wirtschaftliche und rechtliche Fragen der Digitalisierung 4.0. Berlin, Germany : LIT Verlag Dr. W. Hopf, ©2016.

CATALOGUING: copy + original descriptive cataloguing + additions/corrections + summary + contents, 2018-09-30.

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