What are data quality dimensions (DQD)?

Data quality dimensions are a unit of measurement for the quality level of data, that is used for a certain purpose. They can be at file or table level, at the column or variable level, and at the row or observation level. There are several possible DQDs, but the most frequently used DQDs are:

  • Completeness – Do you have all necessary data components, to be able to begin your evaluation?
  • Consistency – Is your data consistent? Here you can compare your data with other data you have access to.
  • Uniqueness – Does any unnecessary duplicate of your data exist?
  • Validity – Is your data consistent with all requirements for format and content?
  • Timeliness – Is your data ready when you need it?
  • Accuracy – Does your data accurately reflect the event or object described?