Multi-level Information Modeling and Preservation of eGOV Data
Richard Marciano6, 7
, Bertram Ludäscher6, 7
, Ilya Zaslavsky6, 7
, Reagan Moore6, 7
and Keith Pezzoli6, 8 
| (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”).
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