Disclosure detection in research environments in practice

Ritchie, F. (2007) Disclosure detection in research environments in practice. In: UNECE/Eurostat work session on statistical data confidentiality - 2007, Manchester, United Kingdom, 17-19 December 2007., pp. 399-406 Available from: http://eprints.uwe.ac.uk/22486


Publisher's URL: http://epp.eurostat.ec.europa.eu/portal/page/porta...


There is an increasing demand for access to raw confidential data, and NSIs have responded by setting up controlled research facilities. However, the most common approaches to statistical disclosure detection and control (SDDC) struggle to accommodate the infinite variety of outputs produced in research environments. The main problems are designing statistical disclosure control (SDC) rules for unknown transformations of the data, and in managing the potential volume of outputs needing review. Research facilities need a different approach to SDDC. In the UK, ONS has developed an approach based around classes of output, where the time devoted to checking outputs can be concentrated on the more unsafe outputs. Defining "safe" and "unsafe" outputs based on the functional form of the model improves the efficiency and security of confidentiality checking, but is not straightforward. This paper outlines the broad approach, and then takes specific examples to show how the UK rules on analytical outputs (and the conditions attached to them) have been developed.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:disclosure, detection, research, environments
ID Code:22486
Deposited By: V. Morin-Quintal
Deposited On:24 Feb 2014 16:35
Last Modified:16 Nov 2018 14:10

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