Which is NOT a dimension of Data Quality?

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Multiple Choice

Which is NOT a dimension of Data Quality?

Explanation:
Understanding data quality dimensions means evaluating how good the data values themselves are. Accuracy measures how close data are to the real-world values; completeness checks that all required fields are present; validity ensures data follow defined formats, types, and business rules. Accessibility, however, deals with who can get the data, when, and by what means—essentially data availability and usability—rather than the intrinsic quality of the data values. So accessibility isn’t a data quality dimension, even though easy access is important for usable data.

Understanding data quality dimensions means evaluating how good the data values themselves are. Accuracy measures how close data are to the real-world values; completeness checks that all required fields are present; validity ensures data follow defined formats, types, and business rules. Accessibility, however, deals with who can get the data, when, and by what means—essentially data availability and usability—rather than the intrinsic quality of the data values. So accessibility isn’t a data quality dimension, even though easy access is important for usable data.

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