TY  - BOOK
AU  - Kalyvas,James R.
AU  - Overly,Michael R.
TI  - Big data: a business and legal guide 
SN  - 9781466592377 
AV  - kpm KF390.5.C6 K14 2015
PY  - 2015///
CY  - Boca Raton. FL
PB  - CRC Press
KW  - Computers
KW  - Law and legislation
KW  - United States
KW  - Data mining
KW  - Big data
KW  - Business enterprises
KW  - Computer networks
KW  - Information services
KW  - BUSINESS & ECONOMICS / Management Science
KW  - bisacsh
KW  - COMPUTERS / Information Technology
KW  - LAW / Medical Law & Legislation
N1  - Includes bibliographical references and index; A big data primer for executives -- Overview of information security and compliance: seeing the forest for the trees -- Information security in vendor -- Privacy and big data -- Federal and State data privacy laws and their implications for the creation and use of health information databases -- Big data and risk assessment -- Licensing big data -- The antitrust laws and big data -- The impact of big data on insureds, insurance coverage, and insurers -- Using bib data to manage human resources -- Big data discovery
N2  - "Enabling readers to quickly implement solutions with respect to collecting, licensing, handling, and using Big Data, this book provides business people and lawyers with an accessible handbook primer on Big Data and its business implications. All contributors are nationally recognized experts in their fields and each chapter focuses on a different legal issue or risk relating to Big Data. More than a theoretical assessment of issues, the book offers busy people with the means to quickly understand relevant issues and implement specific recommendations to mitigate identified risks. "--; "Enabling readers to quickly implement solutions with respect to collecting, licensing, handling, and using Big Data, this book provides business people and lawyers with an accessible handbook primer on Big Data and its business implications. All contributors are nationally recognized experts in their fields and each chapter focuses on a different legal issue or risk relating to Big Data. More than a theoretical assessment of issues, the book offers busy people with the means to quickly understand relevant issues and implement specific recommendations to mitigate identified risks"--
ER  -