Key Variable Mapping System II

M Elliot, D Smith, E Mackey, K Purdam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Key Variable Mapping System (KVMS) is an approach for identifying matching possibilities across datasets within a data environment. It is a formalised approach for identifying key variables. An overview of KVMS is provided in Elliot et al. (2010). The original KVMS was implemented in a spreadsheet. The user had to enter information about datasets and variable categorisations manually across several sheets. The KVMS incorporated the idea of a harmonization graph which related the various categorisations of a variable across different forms, although these had to be constructed manually and were not used within the KVMS. The new KVMS is based on a more formal mathematical definition of a harmonization graph, and the harmonization graph is constructed automatically from graphical models created on data entry. Data entry is simplified and inconsistencies in categorisations are identified immediately by reference to the underlying graphical models that drive the system. Inferences regarding matching possibilities are implemented as algorithms on harmonization graphs. This produces significant performance increases.
Original languageEnglish
Title of host publicationProceedings of the UNECE work session on statistical data confidentiality
Publication statusPublished - Oct 2011
EventUNECE worksession on Statistical Confidentiality - Tarragona
Duration: 1 Jan 1824 → …

Conference

ConferenceUNECE worksession on Statistical Confidentiality
CityTarragona
Period1/01/24 → …

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