Love Data Week 2025

Whose Data Is It, Anyway?

Take a minute to think about who owns data compared to who uses data. Different groups - like researchers,
the government, companies, or organizations - may collect data. They could own it, share it, publish it online, or combine it.

This year's Love Data Week is a chance to really ask the tough questions about your data.
Come to the library and check out our selection of books on this and many other topics. 
 

Big Data by Viktor Mayer-Schönberger; Kenneth Cukier; Viktor Mayer-Schönberger

Call Number: QA76.9.D343 M396 2014

ISBN: 9780544227750

Publication Date: 2014

It seems as if 'big data' is in the news every day, as we read the latest examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things.
 

Identity Theft and Fraud by Norm Archer; Susan Sproule; Yufei Yuan; Ken Guo; Junlian Xiang

Call Number: HV6685.C3 I34 2012

ISBN: 9780776607771

Publication Date: 2012

Personal data is increasingly being exchanged and stored by electronic means, making businesses, organizations and individuals more vulnerable than ever to identity theft and fraud. This book provides a practical and accessible guide to identity theft and fraud using a risk management approach.

Cybersecurity by Roman V. Yampolskiy; Harvard Business Review; Alex Blau; Andrew Burt; Boris Groysberg

Call Number: HV6685.C3 I34 2012

ISBN: 9781633697874

Publication Date: 2019

Too many of us associate cybersecurity with credit card theft and think the solution is for our banking partners, social media platforms, and large retailers to improve and increase their data security practices.
 

Security in Distributed Computing by Rob Dempsey; Glen Bruce

Call Number: QA76.9.A25 D454 1997

ISBN: 0131829084

Publication Date: 1996

Computer security, Electronic data processing, Distributed processing Security measures.
 

 

Data Stewardship by David Plotkin

Call Number: QA76.9.A25 P594 2014

ISBN: 9780124103894

Publication Date: 2013

Data stewardship and data governance : how they fit together.