Data quality knowledge management: A Tool for the collection and organization of metadata in a data warehouse

Show full item record

Title: Data quality knowledge management: A Tool for the collection and organization of metadata in a data warehouse
Author: Neely, M. Pamela
Abstract: 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.
Record URI: http://hdl.handle.net/1850/8160
Date: 2002

Files in this item

Files Size Format View
MNeelyConfProc2002.pdf 1.033Mb PDF View/Open

The following license files are associated with this item:

This item appears in the following Collection(s)

Show full item record

Search RIT DML


Advanced Search

Browse