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Designing an automated prototype tool for preservation quality metadata extraction for ingest into digital repository

Abstract

We present a viable framework for the automated extraction of preservation quality metadata, which is adjusted to meet the needs of, ingest to digital repositories. It has three distinctive features: wide coverage, specialisation and emphasis on quality. Wide coverage is achieved through the use of a distributed system of tool repositories, which helps to implement it over a broad range of document object types. Specialisation is maintained through the selection of the most appropriate metadata extraction tool for each case based on the identification of the digital object genre. And quality is sustained by introducing control points at selected stages of the workflow of the system. The integration of these three features as components in the ingest of material into digital repositories is a defining step ahead in the current quest for improved management of digital resources

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