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Data model: A data model defines the objects of a domain, their inter-relationships, and their properties, normally for the purpose of a database design. There are three data model levels, from highest to lowest: conceptual, logical, and physical. Conceptual data models are the highest level. They model the user concepts in terms familiar to users.
DIV-2 Logical Data Model The documentation of the data requirements and structural business process (activity) rules. In DoDAF V1.5, this was the OV-7. DIV-3 Physical Data Model The physical implementation format of the Logical Data Model entities, e.g., message formats, file structures, physical schema. In DoDAF V1.5, this was the SV-11.
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 .
Data requirements can also be identified in the contract via special contract clauses (e.g., DFARS), which define special data provisions such as rights in data, warranty, etc. SOW guidance of MIL-HDBK-245D describes the desired relationship: "Work requirements should be specified in the SOW, and all data requirements for delivery, format, and ...
For example, a UML Profile abstract syntax (extending the UML 2.1 meta-model) has been defined for MODAF to support XMI-based file exchange between tools and repositories. But interoperability with DoDAF tools will be difficult because MODAF made significant changes to some DoDAF products and adds two new viewpoints.
Data Description: Provides a means to uniformly describe data, thereby supporting its discovery and sharing. Data Context: Facilitates discovery of data through an approach to the categorization of data according to taxonomies. Additionally, enables the definition of authoritative data assets within a community of interest.
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Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.