Anonymization of data involves taking steps to remove personal identifiers from a set of data. Once data is anonymized, it should be impossible -- or at least very difficult -- to figure out who the stored data is associated with. The term de-identification is often used synonymously with anonymization in this context. Data is typically anonymized to protect the privacy of the … [Read more...] about Data De-Identification and Anonymization: Why and How It’s Done
de-identification
The Problem With De-identification As A Privacy Control
De-Identification is a technique, often employed with large data sets, to remove identifying information with the goal of still being able to gain the benefits of correlative analysis while reducing the privacy risks associated with having so much data on individuals. Much of the privacy literature around Big Data privacy focuses on de-identification and the possibility of … [Read more...] about The Problem With De-identification As A Privacy Control
An Extensive Glossary Of Big Data Terminology
Big data comes with a lot of new terminology that is sometimes hard to understand. Therefore we have created an extensive Big Data glossary that should give some insights. Some of the definitions refer to a corresponding blog post. Of course this big data glossary is not 100% complete, so please let us know if there are missing terminology that you would like to see … [Read more...] about An Extensive Glossary Of Big Data Terminology
Reclaim your name: FTC Commissioner’s Big Data Plan
On June 26th, United States FTC Commissioner Julie Brill spoke to over 100 activists, advocates, journalists, attorneys, and industry professionals at the 2013 Computers, Freedom and Privacy Conference in Washington, D.C. about the challenges she and others are facing with privacy and rising tide of data flooding the world. While extolling the benefits of Big Data, she … [Read more...] about Reclaim your name: FTC Commissioner’s Big Data Plan
