Large-scale content profiling for preservation analysis

Abstract

The starting point of any operational endeavor to preserve digital content is gaining a deep understanding of the characteristics of the objects. Systematic analysis of digital object sets and the identification of sample objects that are representative of a collection are critical steps towards preservation operations and a fundamental enabler for successful preservation planning: Without a full understanding of the properties and peculiarities of the content at hand, informed decisions and effective actions cannot be taken. This article presents a software tool prototype that is able to profile large sets of meta data in a scalable fashion and provide deeper insight into the digital collection at hand.

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