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Big Data in Context
Details
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.
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
Klappentext
This book is open access under a CC BY 4.0 license.
Zusammenfassung
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.
Inhalt
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, BigData on a Farm Smart Farming.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319624600
- Lesemotiv Verstehen
- Auflage 1st ed. 2018
- Editor Thomas Hoeren, Barbara Kolany-Raiser
- Anzahl Seiten 120
- Herausgeber Springer-Verlag GmbH
- Gewicht 2117g
- Größe H235mm x B155mm x T10mm
- Jahr 2017
- EAN 9783319624600
- Format Kartonierter Einband
- ISBN 978-3-319-62460-0
- Veröffentlichung 25.10.2017
- Titel Big Data in Context
- Untertitel Legal, Social and Technological Insights
- Sprache Englisch