12502. DATA QUALITY: BUSINESS AND SCIENTIFIC ISSUES. An examination of how business and science-based users of data stored in large databases take steps to ensure data quality and the minimization of errors. Defines data quality, considers the uses and applications of statistical quality control, and discusses methods for assessing accuracy, consistency and currency in data. Considers similarities and differences in data quality control within the business versus the scientific setting. 11 pages, 41 footnotes, 10 bibliographic sources.