Model--Technical Manual Data.
Abstract
The Department of Defense (DoD) service organizations have a huge store of technical publications that are required to support weapon systems. The publications are predominantly paper-based and create copious management, storage and distribution problems. The DoD's Computer-aided Acquisition and Logistic Support (CALS) strategy provides for transition from the paper-intensive life cycle processes of these publications to the utilization of digital information technologies. The acceptance of digital data for storage in a repository poses new problems that are being addressed by the CALS Test Network (CTN) in cooperation with the service organizations. Data Acceptance (DA) addresses the quality of the final deliverable CALS compliant digital data files before they are stored in the repository. Data Acceptance (DA) addresses the quality of the deliverable files, not the format or technical accuracy of the document itself. This document presents models that define the entities and attributes related to the acceptance of CALS compliant digital data for technical manuals. The models are expandable as the CALS standards mature. An entity relationship methodology is used to define a data model. The data model depicts the relationships of data types at various levels of detail. The procurement of CALS technical manual data are depicted in process models which show the generation and the acceptance of the technical publication CALS data. Digital data quality criteria are applied to the acceptance or rejection of the data for each type of document: Raster Page Image, Standard Generalized Markup Language (SGML) tagged text, or other.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 31, 1992
- Accession Number
- ADA312710