Description

This book is a legal practice guide for the collection, storage and analysis of personal and other data in Big Data applications. It contains numerous guidelines and graphic illustrations/graphics to offer well-founded, practice-oriented support. The book illuminates the legal scope of Big Data and at the same time closes a gap in the legal literature on the subject. Its content goes beyond the purely data protection law view and combines questions in the Big Data environment, among others, from the legal sources, the protection of industrial property rights and data protection. In addition to personal data, the book also looks at non-personal data (technical data or anonymous data), which is often mixed together for Big Data analyses. These different types of data may originate from different rightholders, may be subject to different national laws, may require different legal bases and/or may be used for different analysis purposes.

Big Data and Law

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£150.00

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Hardback by Maria Cristina Caldarola , Joachim Schrey

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Short Description:

This book is a legal practice guide for the collection, storage and analysis of personal and other data in Big... Read more

    Publisher: Bloomsbury Publishing PLC
    Publication Date: 14/05/2020
    ISBN13: 9781509931934, 978-1509931934
    ISBN10: 1509931937

    Number of Pages: 304

    Description

    This book is a legal practice guide for the collection, storage and analysis of personal and other data in Big Data applications. It contains numerous guidelines and graphic illustrations/graphics to offer well-founded, practice-oriented support. The book illuminates the legal scope of Big Data and at the same time closes a gap in the legal literature on the subject. Its content goes beyond the purely data protection law view and combines questions in the Big Data environment, among others, from the legal sources, the protection of industrial property rights and data protection. In addition to personal data, the book also looks at non-personal data (technical data or anonymous data), which is often mixed together for Big Data analyses. These different types of data may originate from different rightholders, may be subject to different national laws, may require different legal bases and/or may be used for different analysis purposes.

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