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A United States data item description (DID) is a completed document defining the data deliverables required of a United States Department of Defense contractor. [1] A DID specifically defines the data content, format, and intended use of the data with a primary objective of achieving standardization objectives by the U.S. Department of Defense.
MIL-STD-498 standard describes the development and documentation in terms of 22 Data Item Descriptions (DIDs), which were standardized documents for recording the results of each the development and support processes, for example, the Software Design Description DID was the standard format for the results of the software design process.
Subpart 215.470 of the Defense Federal Acquisition Regulation Supplement (DFARS) document requires the use of the CDRL in solicitations when the contract will require delivery of data. Guidance on how to fill in and handle DD Form 1423-1 is provided in publication 5010.12-M.
The Defense Technical Information Center (DTIC, / ˈ d iː t ɪ k / [2]) is the repository for research and engineering information for the United States Department of Defense (DoD). DTIC's services are available to DoD personnel, federal government personnel, federal contractors and selected academic institutions.
Like DOD-STD-2167, it was designed to be used with DOD-STD-2168, "Defense System Software Quality Program". On December 5, 1994 it was superseded by MIL-STD-498 , which merged DOD-STD-2167A, DOD-STD-7935A , and DOD-STD-2168 into a single document, [ 4 ] and addressed some vendor criticisms.
Kratz, Louis A., (2005), "Elimination of waivers to cite military specifications and standards in solicitations and contracts", Policy Memo 05-03, Assistant Deputy Undersecretary of Defense (Logistics Plans and Programs), Department of Defense, recorded in Defense Acquisition, Technology and Logistics, July - August 2005, p 91.
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MIL-STD-105 D Quick reference Table, TABLE I and TABLE IIA. MIL-STD-105 was a United States defense standard that provided procedures and tables for sampling by attributes based on Walter A. Shewhart, Harry Romig, and Harold F. Dodge sampling inspection theories and mathematical formulas.