Manage and store measurement data, measurement specifications, and analysis results.
Storing measurement-related information enables the timely and cost-effective future use of historical data and results. The information also is needed to provide sufficient context for interpretation of the data, measurement
criteria, and analysis results.
Information stored typically includes the following:
· Measurement plans
· Specifications of measures
· Sets of data that have been collected
· Analysis reports and presentations
The stored information contains or references the information needed to understand and interpret the measures and to assess them for reasonableness and applicability (e.g., measurement specifications used on different projects when
comparing across projects).
Data sets for derived measures typically can be recalculated and need not be stored. However, it may be appropriate to store summaries based on derived measures (e.g., charts, tables of results, or report prose).
Interim analysis results need not be stored separately if they can be efficiently reconstructed.
Projects may choose to store project-specific data and results in a project-specific repository. When data are shared more widely across projects, the data may reside in the organization’s measurement repository.
Refer to the Establish the Organization’s Measurement Repository specific practice of the Organizational Process Definition process area for more information about establishing the organization’s measurement repository.
Refer to the Configuration Management process area for information about managing measurement work products.
Typical Work Products
1. Stored data inventory
Subpractices
1. Review the data to ensure their completeness, integrity, accuracy, and currency.
2. Store the data according to the data storage procedures.
3. Make the stored contents available for use only by appropriate groups and personnel.
4. Prevent the stored information from being used inappropriately.
Examples of ways to prevent inappropriate use of the data and related information include controlling access to data and educating people on the appropriate use of data.
Examples of inappropriate use include the following:
· Disclosure of information that was provided in confidence
· Faulty interpretations based on incomplete, out-of-context, or otherwise misleading information
· Measures used to improperly evaluate the performance of people or to rank projects
· Impugning the integrity of specific individuals