Archival Digitization with Automated File Conversion and Metadata Mapping
Challenge
A large archival institution needed to digitize a massive collection that included JP2 images, audiovisual assets, and complex METS metadata. The toughest hurdle was mapping deeply nested XML structures into clean CSV outputs while handling more than 5TB of data each month at optimized file sizes.
DDD’s Solution
The team built an automated workflow to streamline the process. JP2 files were converted into JPEGs, AV assets ingested into preservation and access systems, and METS metadata transformed into standardized CSVs. Tailored pipelines ensured accuracy, consistency, and minimal manual effort.
Impact
Processing over 5TB monthly, the project accelerated archival ingestion and improved metadata accessibility. Automated conversions and precise mappings reduced costs, eliminated bottlenecks, and established a scalable model for long-term digital asset management.