DOI: 10.5176/2251-2136_ICT12.14

Authors: Nurul A. Emran, Noraswaliza Abdullah and Nuzaimah Mustafa

Abstract: Successful data quality (DQ) measure is importantfor many data consumers (or data guardians) to decide on theacceptability of data of concerned. Nevertheless, little is knownabout how “failures” of DQ measures can be handled by dataguardians in the presence of factor(s) that contributes to thefailures. This paper presents a review of failure handling mechanismsfor DQ measures. The failure factors faced by existingDQ measures will be presented, together with the research gapsin respect to failure handling mechanisms in DQ frameworks.We propose ways to maximise the situations in which dataquality scores can be produced when factors that would cause thefailure of currently proposed scoring mechanisms are present. Byunderstanding how failures can be handled, a systematic failurehandling mechanism for robust DQ measures can be designed
Keywords: Data quality measures, failure handling


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