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  • 1.
    Aljumaili, Mustafa
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Karim, Ramin
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Tretten, Phillip
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Metadata-Based Data Quality Assessment2016In: Vine: The Journal of Information and Knowledge Management Systems, ISSN 0305-5728, E-ISSN 1474-1032, Vol. 46, no 2, p. 232-250Article in journal (Refereed)
    Abstract [en]

    High quality data and data quality assessment can support the decision-makingprocess. In the literature, discussions of the assessment process are mainly focused on theoretical approaches to content analysis or on user evaluations. Metadata is important source for quality information in any database system, however, it is not considered for data quality assessment. Metadata contains information that describes the data in a database, including the constraints and the database schema. High quality data can be produced by designing a database system with accurate metadata descriptions. Having accurate and detailed metadata will reduce the errors in data values which can lead to data quality issues. In this study, data quality assessment model is proposed based on both content and metadata analysis. The model is validated by developing an application tool to assess the quality of the data in a database based on the proposed model. The results show that metadata can provide important information about the quality of the database and its adoption can help togive faster, more accurate and user independent assessment of data quality.

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