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Using Archivematica and Omeka S for Long-Term Preservation and Access of Digitized Archive Materials

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From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries (ICADL 2022)

Abstract

This study proposes a workflow using Archivematica, an application for long-term preservation of digital archives, and Omeka S for system accesses, for the long-term preservation of digitized archival materials and their access based on the Open Archival Information System (OAIS) Reference Model. The workflow requires three steps. First, metadata for ensuring authenticity is analyzed based on the OAIS information model. Second, information packages for preservation and accessing are generated using Archivematica. Third, an original tool is developed for metadata interoperability between Archivematica and Omeka S. Consequently, a consistent preservation and access workflow for digitized materials is successfully established.

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References

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Correspondence to Boyoung Kim .

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Kim, B., Nakamura, S., Watanave, H. (2022). Using Archivematica and Omeka S for Long-Term Preservation and Access of Digitized Archive Materials. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_20

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  • DOI: https://doi.org/10.1007/978-3-031-21756-2_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21755-5

  • Online ISBN: 978-3-031-21756-2

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