Abstract
Providing support to ingest and access bulk collections requires early planning around access and exploring methods that are specific to the data attributes. This paper explores the motivations, constraints and methods that have been employed in the development and implementation of dual automation-based solutions for processing and ingesting large-scale collections into a digital preservation system at the Yale University Library. Implementing dual methods has allowed for the use of multiple technology stacks, close collaboration between preservation staff and subject specialists, and a considerable increase in throughput.
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