Completeness | · Percentage of Missing Values: It can be calculated as the percentage of missing or unreported data. · Number of Missing Fields: This can be calculated as the number of data fields that have no values or content. · Number of Complete Entries: This is the number of entries in the database that are complete, i.e., no data is missing. · Percent Complete: This is calculated as the percentage of data that meets the specifications or standards set for completeness. |
Availability | · Downtime: This can be calculated as the total time that data was unavailable due to outages or disruptions. · Availability Rate: This can be calculated as the percentage of time that the data was available for use relative to the total time. · Recovery Time: The time required to recover data after an outage. · Rate of Successful Requests: It can be measured as the percentage of successful requests to access the data relative to the total number of requests. |
Clarity | · Accuracy Rate: It can be measured as the percentage of data that is accurate relative to the total amount of data. · Number of Errors: This is the number of errors or inaccuracies found in the data. · Error Rate: This is calculated as the percentage of data that contains errors or inaccuracies relative to the total amount of data. · Comprehensibility Measurement: Can be done by assessing how easily a user can understand the data. |
Distinctive ability | · Percentage of Unique Values: This can be calculated as the percentage of data that is unique relative to the total amount of data. · Value Range: This is the range of different values that the data can take. · Number of Categories: This is the number of different categories or classes into which the data can be classified. |
Ease of learning | · Learning Time: This is the time required for a user to understand and use the data for the first time. · Learning Error Rate: This is calculated as the percentage of errors a user makes while learning and using the data. · User Evaluation: This can result from users’ direct evaluation of how easy or difficult it was to understand and use the data. · Task Completion Rate: It can be measured as the percentage of tasks successfully completed by users after learning the data. |
Flexibility | · Reshaping Rate: Measures the percentage of data that had to be changed or reshaped to adapt to new requirements or conditions. · Remodelling Time: This is the time required to remodel or modify the data to suit new requirements or conditions. · Number of Reformats: This is the number of times the data had to be reformatted or modified to meet new requirements or conditions. · Reusability: This metric refers to the ability of data to be reused under different conditions or in different contexts. |