Discussion of data quality examines five approaches to defining data in the literature; considers criteria of adequacy; proposes a modeling activity; discusses the most important dimensions of data quality, including accuracy, precision and reliability, currentness, completeness, and consistency; and suggests further research. (Contains 44…

Describes three criteria for evaluating indexing performances--quality, effectiveness, and consistency. The impracticality of effectiveness measurements and the unreliability of consistency measurements are discussed, and recommendations for assessing indexing quality are made. Two references are provided. (Author/BK)