Tools and methods for group data modeling: a key enabler of enterprise modeling

Authors:
James D. Lee;Douglas L. Dean;Douglas R. Vogel
Affiliations:
Center for the Management of Information, University of Arizona, Tucson, AZ;Center for the Management of Information, University of Arizona, Tucson, AZ;Center for the Management of Information, University of Arizona, Tucson, AZ
Venue:
ACM SIGGROUP Bulletin - Special issue: enterprise modelling: notations and frameworks, ontologies and logics, tools and techniques
Year:
1997

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Abstract

The need for tools and meeting methods to provide effective support during data model development meetings has been an elusive goal. Researchers at the University of Arizona have developed collaborative tools and methods to support groups during these meetings. This paper discusses meeting methods to support such meetings. A process is described that orchestrates the work in a way that gives non-analyst participants an ordered set of tasks that they can complete. Use of this approach with a group data modeling tool provides a means for larger groups to effectively participate during data model development and review. Users can see and contribute model content in parallel. The approach manages complexity, supports comprehension, and fosters agreement among participants.