Data Quality—Concepts and Problems

Abstract

Data Quality is, in essence, understood as the degree to which the data of interest satisfies the requirements, is free of flaws, and is suited for the intended purpose. Data Quality is usually measured utilizing several criteria, which may differ in terms of assigned importance, depending on, e.g., the data at hand, stakeholders, or the intended use.

Keywords

• data quality
• information quality
• data quality dimensions
• data life cycle