Accurateness refers to the degree of which a data entity displays reality. Accurateness can be decided by comparing a data entity with the entity in reality. An example is a a difference between a mailing list of clients and the true clients of an organisation..

This refers to the degree in which certain attributes are present within a data entity. In addition to that the completeness also counts for a certain set of entities (rows) within a data set always being present. For example a person could only have the quality name, yet also consist of nickname, first names, surname and maiden name. In the last case there is a higher completeness

Degree of detail in which a data entity displays reality. For example this refers to the precision of numbers and such. Storage of numbers and dates can be insufficiently accurate because rounding is needed in storage. Domains in features can also have insufficient precision (such as a Dutch postal code in an international data storage.)