CUED Publications database

A classification of data quality assessment and improvement methods

Woodall, P and Oberhofer, M and Borek, A (2014) A classification of data quality assessment and improvement methods. In: UNSPECIFIED pp. 298-321..

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Abstract

Copyright © 2014 Inderscience Enterprises Ltd. Data quality (DQ) assessment and improvement in larger information systems would often not be feasible without using suitable 'DQ methods', which are algorithms that can be automatically executed by computer systems to detect and/or correct problems in datasets. Currently, these methods are already essential, and they will be of even greater importance as the quantity of data in organisational systems grows. This paper provides a review of existing methods for both DQ assessment and improvement and classifies them according to the DQ problem and problem context. Six gaps have been identified in the classification, where no current DQ methods exist, and these show where new methods are required as a guide for future research and DQ tool development.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div E > Manufacturing Systems
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:44
Last Modified: 17 Oct 2017 01:39
DOI: