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SUMMARY:Data Dissemination: A Survey of Recent Approaches\, Challenges\, a
 nd Connections to Data Linkage - Jerry  Reiter (Duke University)
DTSTART:20160706T103000Z
DTEND:20160706T113000Z
UID:TALK66668@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:I introduce common strategies for reducing disclosure risks wh
 en releasing public use microdata\, i.e.\, data on individuals. I discuss 
 some of their pros and cons in terms of data quality and disclosure risks\
 , connecting to data linkage where possible. I also talk about a key chall
 enge in data dissemination: how to give feedback to users on the quality o
 f analyses of disclosure-protected data. Such feedback is essential if ana
 lysts are to trust results from (heavily) redacted microdata.&nbsp\; They 
 also are essential for query systems that report (perturbed) outputs from 
 statistical models. However\, such feedback leaks information about confid
 ential data values. I discuss approaches for feedback that satisfy the ris
 k criterion differential privacy for releasing diagnostics in regression m
 odels.<br><br><br>
LOCATION:Seminar Room 1\, Newton Institute
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