When an organization is planning to develop or revise the automation of information processing, a typical first step is to analyze the underlying structure of its business. The 'entity/relationship' (or simply 'data') model is a good vehicle for doing this. What has been discovered over the years is that there are a number of structures that are universal and applicable to all kinds of organizations, both private and public. There are four fundamental categories: People and Organizations, Geography, Physical Resources and Activities and Events. Overlaying all of these are the topics of Accounting and Information Resources. This webcast will also relate this model to the Library of Congress Functional Requirements for Bibliographic Records (FRBR). Speaker Biography: David Hay is manager of data strategy and architecture with Capgemini Financial Services USA. In the information industry for longer than he would care to admit, for the last 20 years he has produced data models for companies in various industries, such as clinical pharmaceutical research, oil production and processing, and banking, as well as for various government agencies. He is the author of several books, including his most recent, Data Model Patterns: A Metadata Map. For more information, visit www.loc.gov/today/cyberlc/feature_wdesc.php?rec=4580

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