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Multi-level Information Modeling and Preservation of eGOV Data

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Electronic Government

Part of the book series: Lecture Notes in Computer Science ((volume 2456))

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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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References

  1. Cowell, E., Jacobs, J., Peterson, K.: Government Documents at the Crossroads. American Libraries. Infotrac. (Sep. 2001), 52–55

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  2. Ludäscher, B., Marciano, R., Moore, R.: Preservation of Digital Data with Self-Validating, Self-Instantiating Knowledge-based Archives, ACM SIGMOD Record, Vol. 30, No. 3 (2001) 54–63.

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  3. Moore, R., Baru, C., Rajasekar, A., Ludaescher, B., Marciano, R., Wan, M., Schroeder, W., Gupta, A.: Collection-based Persistent Digital Archives, D-Lib Magazine Vol. 6, No. 3 & 4, (Mar. 2000, Apr. 2000)

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Author information

Authors and Affiliations

  1. University of California San Diego, 9500 Gilman Drive, 92093, San Diego, CA, USA

    Richard Marciano, Bertram Ludäscher, Ilya Zaslavsky, Reagan Moore & Keith Pezzoli

  2. San Diego Supercomputer Center, 0505, MC

    Richard Marciano, Bertram Ludäscher, Ilya Zaslavsky & Reagan Moore

  3. Urban Studies and Planning Program, 0517, MC

    Keith Pezzoli

Authors
  1. Richard Marciano
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  2. Bertram Ludäscher
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  3. Ilya Zaslavsky
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  4. Reagan Moore
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  5. Keith Pezzoli
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Editor information

Editors and Affiliations

  1. Institute of Applied Computer Science, University of Linz, Altenbergerstr. 69, 4040, Linz, Austria

    Roland Traunmüller

  2. Lehrstuhl für Verwaltungsinformatik, University of Oldenburg, 26111, Oldenburg, Germany

    Klaus Lenk

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© 2002 Springer-Verlag Berlin Heidelberg

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Marciano, R., Ludäscher, B., Zaslavsky, I., Moore, R., Pezzoli, K. (2002). Multi-level Information Modeling and Preservation of eGOV Data. In: Traunmüller, R., Lenk, K. (eds) Electronic Government. Lecture Notes in Computer Science, vol 2456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46138-8_14

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  • DOI: https://doi.org/10.1007/3-540-46138-8_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44121-2

  • Online ISBN: 978-3-540-46138-8

  • eBook Packages: Springer Book Archive

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