Estimating risks of identification disclosure in partially synthetic data
Reiter, Jerome P. and Mitra, Robin (2008) Estimating risks of identification disclosure in partially synthetic data. Southampton, UK, Southampton Statistical Sciences Research Institute, 11pp. (S3RI Methodology Working Papers, M08/07).
- Author's Original
To limit disclosures, statistical agencies and other data disseminators can release partially synthetic, public use microdata sets. These comprise the units originally surveyed, but some collected values, for example sensitive values at high risk of disclosure or values of key identifiers, are replaced with multiple draws from statistical models. Because the original records are on the file, there remain risks of identifications. In this paper, we describe how to evaluate identification disclosure risks in partially synthetic data, accounting for released information from the multiple datasets, the model used to generate synthetic values, and the approach used to select values to synthesize. We illustrate the computations using the Survey of Youths in Custody.
|Item Type:||Monograph (Working Paper)|
|Keywords:||confidentiality, public use data, record linkage, survey|
|Subjects:||H Social Sciences > HA Statistics
K Law > K Law (General)
|Divisions:||University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
|Date Deposited:||03 Oct 2008|
|Last Modified:||13 Aug 2015 13:13|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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