The Conformed Dimensions of Data Quality are composed of the following parts:
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Dimensions: The highest level of description is used to broadly categorize observations of quality. | Underlying Concepts: The second level is used to break out the distinct components of a dimension. | Metrics: The third level is a metric which quantifies a specific aspect of a concept. |
Starting with the release of the 2018 Annual Dimensions of Data Quality report (10/2018), the Conformed Dimensions of Data Quality now includes example metrics. One metric per Underlying Concept has been provided, with the goal to add more over time- based on your contributions. Please send additional examples to the CDDQ steward, Dan Myers, via email dan[at]dqmatters[dot]com.
The Metrics release (5) is available for download in CSV format:
Conformed Dimensions of Data Quality Example Metrics Download
Please provide feedback directly to Dan Myers (email above) or start a discussion on LinkedIn via the CDDQ Group.