What aspect of metadata is primarily focused on data integrity?

The aspect of metadata that is primarily focused on data integrity is accuracy. Accuracy refers to the closeness of the data values to the true values, which is fundamental in ensuring that the information is reliable and valid for decision-making and analysis. It provides a measure of how well the data reflects the real-world phenomenon it is intended to represent.

For example, in a geographic information system, accurate spatial data ensures that the features on a map align correctly with their real-world counterparts. This strengthens the trust in the data and its usability for analytical purposes, influencing how confidently one can draw conclusions based on the data presented.

Other aspects, like completeness, relate more to whether all required data is present; provenance concerns the origin and history of the data and how it has been altered through time; and accessibility focuses on how easily users can obtain and work with the data. While all these elements contribute to a comprehensive understanding of data quality, accuracy is specifically tied to the integrity of the data itself.