Forwarded from Stephen Abrams:
The JHOVE2 project team will be presenting a one day tutorial on the use of JHOVE2 at the IS&T Archiving conference on May 16.
http://www.imaging.org/ist/conferences/archiving/index.cfm
Description
JHOVE2 is an open source framework and application for next generation format-aware characterization of digital objects. Characterization is the process of deriving representation information about a formatted digital object that is indicative of its significant nature and useful for purposes of classification, analysis, and use in digital curation, preservation, and repository contexts. JHOVE2 builds on the success of the original JHOVE characterization tool by addressing known limitations and offering significant new functions, including: object-focused, rather than file-focused, characterization; signature-based file level identification using DROID; aggregate-level identification based on configurable file system naming conventions; rules-based assessment to support determinations of object acceptability in addition to validation conformity; and extensive user configuration options.
The 2011 release of JHOVE2 represents the availability of a significant new tool for digital preservation; this course will provide a broad overview of JHOVE2, as well as detailed information on its functionality, architecture, use in local workflows, and open source community.
Course Objectives:
This short course will give attendees both a broad conceptual overview and detailed information on JHOVE2, and equip them to use the open source tool in their local environments. Specifically, the course will:
- Define the role of file characterization, including identification, feature extraction, validation, and assessment, in digital curation and preservation workflows.
- Review the functionality of the JHOVE2 application, including the significant enhancements relative to JHOVE, and new capabilities based on object- and aggregate-level characterization
- Detail the architecture, componentry, design patterns and Java API’s of the JHOVE2 framework, as well as the configuration options for plug-in modules, characterization strategies and results formatting
- Demonstrate the use of JHOVE2’s new rule-based assessment capabilities, and integrating these into local workflows to determine object acceptability
- Cover the community framework for the project, and how individual institutions can both contribute new format modules as well as resources to help extend and sustain the open source project.
Intended Audience:
This course is designed for technologists and practitioners (developers, managers, analysts and administrators) engaged in digital curation, preservation, and repository activities, and whose work is dependent on an understanding of the format and pertinent characteristics of digital assets.
Mad File Format Science 