Appendix B

Data Quality Dimensions


Dimensions of data quality are fundamental to understanding how to improve data. This appendix summarizes, in chronological order of publication, three foundational definitions of data quality dimensions: those of Richard Wang and Diane Strong, Thomas Redman, and Larry English. These provide context for the choices in the DQAF. In the DQAF, I have not proposed new dimensions of data quality. On the contrary, I draw a subset and have narrowed their scope to define objective measurements that can be taken from within a dataset.

Richard Wang’s and Diane Strong’s Data Quality Framework, 1996

In the article, “Beyond Accuracy: What Data Quality Means to Data Consumers,” Wang and Strong present results of a survey ...

Get Measuring Data Quality for Ongoing Improvement now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.