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Abstract Details
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Activity Number:
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370
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Type:
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Roundtables
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Date/Time:
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Tuesday, August 2, 2011 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #301813 |
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Title:
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Balancing Data Quality and Data Confidentiality
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Author(s):
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Lawrence Cox*+
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Companies:
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National Institute of Statistical Sciences
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Address:
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12177 Etchison Road, Ellicott City, MD, 21042,
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Keywords:
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statistical disclosure ;
data quality ;
confidentiality ;
suppression ;
rounding ;
synthetic data
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Abstract:
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We will discuss the goal of releasing high-quality disclosure-protected data from both qualitative and quantitative standpoints. Qualitatively: for a given data set (tabular or microdata), how should quality and confidentiality be defined, and evaluated? what does it mean to "balance" quality and confidentiality--is one more important than the other? are these dual objectives always in conflict? Quantitatively (you may wish to bring paper and pencil): how effective is complementary cell suppression for achieving high-quality disclosure-protected tabular data? how effective are controlled tabular adjustment and rounding, and pre-tabulation perturbation of underlying microdata? how efective is microaggregation for achieving high-quality disclosure-protected microdata? how effective is synthetic microdata? Contributions to the discussion of actual participant experiences will be welcome.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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