ComputingComputer ScienceData ScienceData ManagementQuality AssuranceQuality ControlData AnalysisData CleaningData GovernanceData QualityData Quality AssessmentData Quality ControlData Quality AssuranceData Quality ImprovementData Quality Management
This paper is based on the notion of data quality. It includes correctness, completeness and minimality for which a notational framework is shown. In long living databases the maintenance of data quality is a first order issue. This paper shows that even well designed and implemented information systems cannot guarantee correct data in any circumstances. It is shown that in any such system data quality tends to decrease and therefore some data correction procedure should be applied from time to time. One aspect of increasing data quality is the correction of data values. Characteristics of a software tool which supports this data value correction process are presented and discussed. 1 Introduction For any information system (IS), data correctness is an important issue [5],[6],[19]. Data correctness is context dependent. The degree to which it is enforced depends on the purposes of the application(s) processing the data as well as on economical aspects [20]. Sometimes it is ch...