Big Data in Context
Springer International Publishing (Verlag)
978-3-319-62460-0 (ISBN)
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.
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.
| Erscheinungsdatum | 10.11.2017 |
|---|---|
| Reihe/Serie | SpringerBriefs in Law |
| Zusatzinfo | XII, 120 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Original-Titel | Big Data zwischen Kausalität und Korrelation - Wirtschaftliche und rechtliche Fragen der Digitalisierung 4.0 |
| Maße | 155 x 235 mm |
| Gewicht | 212 g |
| Themenwelt | Recht / Steuern ► EU / Internationales Recht |
| Recht / Steuern ► Öffentliches Recht | |
| Recht / Steuern ► Privatrecht / Bürgerliches Recht ► Medienrecht | |
| Schlagworte | Big Data/Analytics • business mathematics & systems • Business mathematics & systems • Data Accuracy • Data Mining • data mining and knowledge discovery • data protection • Data Quality • educational data mining • Entertainment & media law • Entertainment & media law • European Law • Expert systems / knowledge-based systems • International IT and Media Law, Intellectual Prope • International Law • Law • Law and Criminology • Laws of specific jurisdictions & specific areas of • Laws of specific jurisdictions & specific areas of • legal aspects of computing • Legal aspects of IT • Media Law • open access • predictive analytics • privacy • Safe Harbor • Selftracking • Smart car • Smart Farming • Smart Grid • Surveillance • Wearables • Webtracking |
| ISBN-10 | 3-319-62460-1 / 3319624601 |
| ISBN-13 | 978-3-319-62460-0 / 9783319624600 |
| Zustand | Neuware |
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