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Multi-level Information Modeling and Preservation of eGOV Data

Richard Marciano6, 7 Contact Information, Bertram Ludäscher6, 7 Contact Information, Ilya Zaslavsky6, 7 Contact Information, Reagan Moore6, 7 Contact Information and Keith Pezzoli6, 8 Contact Information

(6)  University of California San Diego, 9500 Gilman Drive, 92093 San Diego, CA, USA
(7)  San Diego Supercomputer Center, 0505, MC
(8)  Urban Studies and Planning Program, 0517, MC
Abstract
This paper addresses the issue of long-term preservation of and access to digital government information. We show how the preservation process is enhanced by storing an infrastructure-independent representation of the raw data, together with a model dependency graph (an executable graph of database view mappings). This allows for the design of decision-support tools and services for improving government transparency and promoting citizen access to eGOV data. A case-study, the Florida Ballots Project, is used to illustrate the approach.
Work partially supported by NSF/NPACI ACI-9619020 award (National Archives and Records Administration / NARA supplement) and National Historical Publications and Records Commission / NHPRC award (“Methodologies for Preservation and Access of Software-dependent Electronic Records”).

Contact Information Richard Marciano
Email: marciano@sdsc.edu
URL: http://www.sdsc.edu

Contact Information Bertram Ludäscher
Email: ludaesch@sdsc.edu

Contact Information Ilya Zaslavsky
Email: zaslavsk@sdsc.edu

Contact Information Reagan Moore
Email: moore@sdsc.edu

Contact Information Keith Pezzoli
Email: kpezzoli@sdsc.edu
URL: http://regionalworkbench.org
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