ABSTRACT
If the data in your database is not of sufficient quality, people won’t (and shouldn’t) use it. Managing the quality of the data is just as important as managing the data itself. This chapter and the next cover a variety of issues related to quality terminology, QA/QC samples, data quality procedures and standards, database software support for quality analysis and tracking, and protection from loss. General data quality issues are contained in this chapter, and issues specific to data verification and validation in the next.
