Location

Ngee Ann Kongsi Auditorium (NAKA)

Start Date

4-6-2026 4:00 PM

End Date

4-6-2026 4:30 PM

Description

When the authenticity of digital objects is questioned, provenance serves as crucial evidence that archives use to attest to their authenticity. As an archive committed to long-term digital preservation goals, the Chula AMATA—Chulalongkorn University’s in-house developed digital preservation system, was designed and developed with the goals to capture all digital provenance information automatically as much as possible and record the contextual and administrative information as the additional provenance information that affects the capability and effectiveness of digital preservation actions. The system design was implemented the provenance principles at the workflow level across two main modules, two functions, and one separate interface: (1) transfer (Pre-ingest module; SIP creation), (2) ingest (SIP-AIP transformation module), (3) integrity check (fixity, integrity, and usability check function), (4) file format specification validation (an automated background function for normalized objects only), and (5) submission form interface (a semi-automated provenance recording platform). The system provides an ease- and time-saving approach to provenance recording for thousands of digital objects and invaluable assets, with significant impacts on long-term digital preservation actions in the archive. However, a handful of challenges remain to be addressed in the next development phase, such as ensuring continuous recording of preservation actions and parsing future significant action logs into each AIP’s METS XML file.

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Jun 4th, 4:00 PM Jun 4th, 4:30 PM

Designing Provenance-based System; the Chula AMATA Digital Preservation System

Ngee Ann Kongsi Auditorium (NAKA)

When the authenticity of digital objects is questioned, provenance serves as crucial evidence that archives use to attest to their authenticity. As an archive committed to long-term digital preservation goals, the Chula AMATA—Chulalongkorn University’s in-house developed digital preservation system, was designed and developed with the goals to capture all digital provenance information automatically as much as possible and record the contextual and administrative information as the additional provenance information that affects the capability and effectiveness of digital preservation actions. The system design was implemented the provenance principles at the workflow level across two main modules, two functions, and one separate interface: (1) transfer (Pre-ingest module; SIP creation), (2) ingest (SIP-AIP transformation module), (3) integrity check (fixity, integrity, and usability check function), (4) file format specification validation (an automated background function for normalized objects only), and (5) submission form interface (a semi-automated provenance recording platform). The system provides an ease- and time-saving approach to provenance recording for thousands of digital objects and invaluable assets, with significant impacts on long-term digital preservation actions in the archive. However, a handful of challenges remain to be addressed in the next development phase, such as ensuring continuous recording of preservation actions and parsing future significant action logs into each AIP’s METS XML file.

 

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