Data Object Classification: A Necessary Step Toward Information Integration. A White Paper

摘要

Standard data definitions which can be used across many enterprise and organizational boundaries are required in a Computer-aided Acquisition and Logistics Support (CALS) shared integrated information environment. A large number of legacy data dictionaries already define data in enterprise-specific and application dependent terms. Several CALS Industry Steering Group (ISG) committees are now working on new data definitions without a unifying method for integrating the definitions. Current data standards do not provide adequate means for classifying data to accommodate legacy definitions, resolve collisions for new items, and help locate data among a very large pool of data definitions. The paper describes a data object classification method and illustrates its use with legacy data. When used by the CALS community, the method should help resolve the issues identified above. The authors believe it is a necessary step toward information integration in a CALS environment.