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SUMMARY:The Anonymisation Decision Making Framework - Elaine Mackey (Unive
 rsity of Manchester)
DTSTART:20161205T105000Z
DTEND:20161205T111000Z
UID:TALK69306@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>The need for well-thought-out anonymisation has never be
 en more acute. In the current data environment\, increasing numbers of lar
 ge and linked datasets are created about people. At the same time there ar
 e political\, social and economic drivers encouraging greater sharing of a
 nonymised data. Add into the mix that anonymisation is a complex process a
 nd then it is perhaps not surprising that the drive to share data has led 
 to some ill thought out and poorly-anonymised data publications including 
 the Netflix<a rel="nofollow" target="_blank">[1]</a>\, AOL<a rel="nofollow
 " target="_blank">[2]</a> and New York taxi<a rel="nofollow" target="_blan
 k">[3]</a> cases\, underlining how important it is to carry out anonymisat
 ion properly and what can happen if you do not. </span>  In this presentat
 ion\, I introduce a framework for undertaking well thought out anonymisati
 on: the Anonymisation Decision-making Framework (ADF). The ADF attempts to
  unify the technical\, legal\, ethical and policy aspects of anonymisation
  to provide a comprehensive guide to doing anonymisation in practice.   <s
 pan><br>         </span><br><br><br><br>
LOCATION:Seminar Room 1\, Newton Institute
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