Handbook of data quality: research and practice

摘要

As the size and scope of databases and data repositories grow, they are becoming increasingly important drivers or justifications for public policy, legislation, and rulemak-ing. Commercial enterprises depend on their data repositories for business intelligence, customer service, marketing, and general competitive advantage. Decisions with significant consequences are made in diverse domains, such as evidence-based medicine and marine navigation, based on data whose quality is sometimes questionable. Health insurance exchanges and corporate compliance both depend on high-quality data. This collection by experts from academia and industry attempts to provide an integrated framework for data quality for all of these, and more, application domains and uses.