ISO25012 Sub-characteristic

Data Metrics

Accuracy

· Data Error Rate: Percentage of data records that contain errors relative to the total number of data records.

· Percentage of correct values: Percentage of data records that contain correct values relative to the total number of data records.

· Total Data Loss Rate: Percentage of lost or unrecorded data records relative to the total number of data records.

· Average Deviation: The average amount of deviation between the data values and the correct values.

Comprehension

· Simplicity of data structure: This can be measured as the percentage of data elements that are straightforwardly understood without additional explanation or interpretation.

· Data consistency: Data consistency refers to the extent to which related pieces of data are coherent and consistent.

· Quality of documentation: This can be assessed by the completeness, accuracy and comprehensibility of the documentation accompanying the data.

· Clarity of tags and metadata: This can be assessed based on how easily one can understand the meaning of the data based on the tags and metadata that accompany it.

· Clarity of units of measurement: This refers to the ease with which users can understand the units of measurement used for the data.

Consistency

· Inconsistency rate: This can be measured as the percentage of data that is not consistent or does not follow the rules or specifications that have been set.

· Deviation from the norm: This can be calculated as the average deviation of the data from a certain norm or standard.

· Number of Duplicates: The number of repeated entries in the data set.

· Value Variance: The variance of the values of the data provided, which may indicate inconsistency if the values deviate greatly from the expected value.

Acceptability

· User satisfaction rate: This can be measured using questionnaires, ratings or reviews conducted with users of the data.

· Task execution success rate: Percentage of tasks that can be completed successfully using the data.

· Data rejection rate: Percentage of data that is rejected or not used by users due to insufficiency, inaccuracy, or other quality issues.

· Rate of data quality reports: Percentage of reports made about data quality, such as errors, inconsistencies, or other problems.

Reliability

· Validity Rate: It can be calculated as the percentage of data that meets the validity criteria set. For example, the validity of email addresses or phone numbers.

· Percentage of Missing Values: It can be calculated as the percentage of missing or unavailable data.

· Deviation from the predicted variance: This can be calculated as the deviation of the observed data from the predicted variance based on the estimates or predictions.

· Retry Failures: Number of times data is not reliably retried under different conditions or to different users.

Efficiency

· Return on Investment (ROI): This can be calculated based on the value or return achieved from using the data compared to the cost of accessing, processing, maintaining, and analyzing the data.

· Performance Rate: It can be measured as the percentage of successful tasks performed using the data relative to the total number of tasks.

· Processing Time: The time required to process or analyze the data.

· Response Time: The time it takes to get results or information from the data.