A Graph-based Approach to Key Variable Mapping
Main Article Content
Abstract
This paper describes the Key Variable Mapping System (KVMS) - a metadata repository, and tools for carrying out disclosure risk assessments. The KVMS repository contains metadata relating to the collection instruments used to populate private databases, and partition graphs for encoding possibilities for record matching. Analyses are conducted to assist in the identification of key variables. The data entry system used to populate the repository is described, along with details of the data structures and algorithms used to query the repository and generate a particular form of analysis. KVMS provides a framework for disclosure risk analyses that depend on a prevailing data environment.
Article Details
Copyright is retained by the authors. By submitting to this journal, the author(s) license the article under the Creative Commons License – Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), unless choosing a more lenient license (for instance, public domain). For situations not allowed under CC BY-NC-ND, short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source.
Authors of articles published by the journal grant the journal the right to store the articles in its databases for an unlimited period of time and to distribute and reproduce the articles electronically.