A data standard is data that has been coordinated through the standardization process and approved for use in information systems. The data standardization process and its products are the starting point in the sharing of data across different functional systems. The purpose of standardization, whether data or anything else, is to reduce the proliferation of occurrences of the same or similar concepts. At this same time, the Department recognized the need to enter data only once. Data elements define the information that is contained in automated systems.
Standard data is as fundamental as standard ammunition or fuel.
Most often, it is in the form of barriers that prevent the transfer and interpretation of information across functions. But translators still can limit data transfer and require scarce resources to be developed. Implementing standard data across functional areas minimizes the requirement for data translation devices and reduces the cost of building and maintaining systems. All data is not created equal. These requirements represent data that is exchanged most frequently from process to process and is critical to the operations of two or more functional areas.