Data quality dimensions: The most important dimensions whose data quality can be assessed are:
- Correctness: factual agreement of the data with the properties of the real world object that it represents.
- Consistency: agreement of several versions of the data related to the same real objects, which are stored in various information systems.
- Completeness: complete existence of all values or attributes of a record that are necessary.
- Actuality: agreement of the data at all times with the current status of the real object and adjustment of the data in a timely manner as soon as the real object has been changed.
- Availability: the ability of the data user to access the data at the desired point in time.