Data Environment Analysis and the Key Variable Mapping System

摘要

It is now generally accepted that the measurement of statistical disclosure risk should be carried out with reference to the data environment into which a proposed dataset is to be released. This is normally considered through the development of intrusion or attack scenarios. Elliot and Dale's (1999) scheme set out a general set of principles for a scenario analysis, the output of which was a set of key variables. In this paper we outline an empirically based method, Data Environment Analysis which operationalises these ideas and a prototype tool the Key Variable Mapping System which has been designed to produce lists of key variables, with much more precise specification than was previously possible.