Big Data In Context: Legal, Social And Technological Insights (springerbriefs In Law)
by Thomas Hoeren /
2017 / English / PDF
2.7 MB Download
This book is open access under a CC BY 4.0 license.
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.
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.
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.
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.
