A Data Management System is a software package with computer programs that control the creation, maintenance, and use of a collection of data records, files, and other objects in a database. An acquisition program, it supports the total life cycle of a system and should be connected to allow logisticians to address the overall effectiveness of the logistics process in contributing to system availability and life-cycle cost factors. It should also reflect the needs established by the Data Management Strategy.
Combining acquisition and sustainment data systems into a true total life-cycle Integrated Data Environment (IDE) provides the capability needed to reduce the logistics footprint and plan effectively for sustainment. It also ensures that the Program Manager (PM) and other personnel have accurate information about life-cycle costs.
A data management system should:
- Facilitates technology insertion for affordability improvements during re-procurement and post-production support
- Supports configuration management processes
- Enables maintenance and supportability analyses
- Supports contract service risk assessments over the life of the system
The PM should establish a data management system within the IDE that allows every activity involved with the program to cost-effectively create, store, access, manipulate, and exchange digital data. This includes, at minimum, the data management needs of the system engineering process, modeling and simulation activities, test and evaluation strategy, support strategy, and other periodic reporting requirements. The PM should summarize in the Acquisition Strategy to establish a cost-effective data management system.
PMs must also ensure program data is protected in accordance with classification requirements. Distribution and marking of program data must be managed in accordance with International Traffic in Arms Regulations (ITAR) regulations, Freedom of Information Act and Privacy regulations, and federal requirements for record retention and management.
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