M. Pamela Neely


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.

Date of creation, presentation, or exhibit



Eighth Americas Conference on Information Systems Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Paper

Department, Program, or Center

Accounting (SCB)


RIT – Main Campus