This paper describes a relational database tool, the Data Quality Knowledge Management (DQKM), which captures and organizes the metadata associated with a data warehouse project. It builds on the concept of fitness for use by describing a measurement technique for subjectively assigning a measure to a data field based on the use and quality dimension of the dat within the data warehouse. This measurement can then be compared to some minimum criteria, below which it is not cost effective to enhance the quality of the data. This tool can be use to make resource allocation decisions and get the greatest benefit for the cost in utilizing the scarce resources available to enhance source data for a data warehouse.
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Neely, M. Pamela, "Data quality knowledge management: A Tool for the collection and organization of metadata in a data warehouse" (2002). Accessed from
RIT – Main Campus