Preserving Scientific Processes from Design to Publications

  • Rudolf Mayer
  • Andreas Rauber
  • Martin Alexander Neumann
  • John Thomson
  • Gonçalo Antunes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7489)

Abstract

Digital Preservation has so far focused mainly on digital objects that are static in their nature, such as text and multimedia documents. However, there is an increasing demand to extend the applications towards dynamic objects and whole processes, such as scientific workflows in the domain of E-Science. This calls for a revision and extension of current concepts, methods and practices. Important questions to address are e.g. what needs to be captured at ingest, how do the digital objects need to be described, which preservation actions are applicable and how can the preserved objects be evaluated. In this paper we present a conceptual model for capturing the required information and show how this can be linked to evaluating the re-invocation of a preserved process.

Keywords

Digital Preservation Context 

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References

  1. 1.
    Glinos, K.: E-infrastructures for big data: Opportunities and challenges. ERCIM News 2012(89) (2012)Google Scholar
  2. 2.
    Guttenbrunner, M., Rauber, A.: A Measurement Framework for Evaluating Emulators for Digital Preservation. ACM Transactions on Information Systems (TOIS) 30(2) (2012)Google Scholar
  3. 3.
    Hey, T., Tansley, S., Tolle, K. (eds.): The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, Redmond, Washington (2009)Google Scholar
  4. 4.
    International Organization For Standardization. OAIS: Open Archival Information System - Reference Model, Ref. No ISO 14721:2003 (2003)Google Scholar
  5. 5.
    Marketakis, Y., Tzitzikas, Y.: Dependency management for digital preservation using semantic web technologies. International Journal on Digital Libraries 10, 159–177 (2009)CrossRefGoogle Scholar
  6. 6.
    Missier, P., Sahoo, S.S., Zhao, J., Goble, C., Sheth, A.: Janus: From Workflows to Semantic Provenance and Linked Open Data. In: McGuinness, D.L., Michaelis, J.R., Moreau, L. (eds.) IPAW 2010. LNCS, vol. 6378, pp. 129–141. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  7. 7.
    Missier, P., Soiland-Reyes, S., Owen, S., Tan, W., Nenadic, A., Dunlop, I., Williams, A., Oinn, T., Goble, C.: Taverna, Reloaded. In: Gertz, M., Ludäscher, B. (eds.) SSDBM 2010. LNCS, vol. 6187, pp. 471–481. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  8. 8.
    Moreau, L., Freire, J., Futrelle, J., McGrath, R.E., Myers, J., Paulson, P.: The Open Provenance Model: An Overview. In: Freire, J., Koop, D., Moreau, L. (eds.) IPAW 2008. LNCS, vol. 5272, pp. 323–326. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  9. 9.
    PREMIS Editorial Committee. Premis data dictionary for preservation metadata. Technical report (March 2008)Google Scholar
  10. 10.
    Treinen, R., Zacchiroli, S.: Description of the CUDF Format. Technical report (2008), http://arxiv.org/abs/0811.3621
  11. 11.
    Zachman, J.A.: A framework for information systems architecture. IBM Systems Journal 26(3), 276–292 (1987)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rudolf Mayer
    • 1
  • Andreas Rauber
    • 1
  • Martin Alexander Neumann
    • 2
  • John Thomson
    • 3
  • Gonçalo Antunes
    • 4
  1. 1.Secure Business AustriaViennaAustria
  2. 2.Karlsruher Institut für TechnologieKarlsruheGermany
  3. 3.Caixa Magica SoftwareLisbonPortugal
  4. 4.INESC ID, Instituto de Engenharia de Sistemas e Computadores, Investigacao e DesenvolvimentoLisbonPortugal

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