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About
JHOVE2 is open source software for format-aware characterization of digital objects. JHOVE2 analyzes digital objects with these questions:
- What is it? (Identification)
- What about it? (Feature extraction)
- What is it, really? (Validation)
- So what? (Assessment)
The original JHOVE characterization framework is widely used by international digital library programs and preservation repositories. During the course of its extensive use over the past four years, however, a number of limitations imposed by idiosyncrasies of design and implementation have been identified. With funding from the Library of Congress under its National Digital Information Infrastructure and Preservation Program (http://www.digitalpreservation.govNDIIPP), the California Digital Library, Portico, and Stanford University are collaborating on a two year project to develop and deploy a next-generation architecture providing enhanced performance, streamlined APIs, and significant new features. The JHOVE2 project generalizes the concept of format characterization to include identification, validation, feature extraction, and policy-based assessment. The target of this characterization is not a simple digital file, but a (potentially) complex digital object that may be instantiated in multiple files.