Communications of the ACM - Supporting community and building social capital
Estimating the Quality of Databases
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Information Systems - Special issue: Data quality in cooperative information systems
Problems of Data Quality in an Integrated Cadastral Information System
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
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Databases have risen to be one of the most important corporate assets, but usually their data quality is poor or even not manageable at all. Several metrics of data quality have been designed and implemented to monitor a database of an information system. The primary goal of data quality metrics design was to provide the managers of information centres the tools for monitoring of their databases and for alerting that the amount of errors crossed a given threshold value and it is necessary to undertake activities aimed at data cleansing. The metrics should also be useful for the software producers to enable them to improve their applications. The proposed metrics have been evaluated using databases of several cadastral information systems. The investigation of data quality changes during the period of last three years is presented in the paper. Several metrics applying to domain and referential defects have been used. The study has revealed that simple metrics based on the number of defects detected in a database are not sufficient. The metrics calculating the cost of defect removal have been proposed and evaluated. The experiments covered also metrics specific for cadastral data.