The JHOVE2 project team will present a one day tutorial on JHOVE2 at the
upcoming IS&T Archiving Conference in Salt Lake City, May 16-19, 2011.
More information about the conference is available at
http://www.imaging.org/ist/Conferences/archiving/index.cfm.

 

T1A: JHOVE2 - A Next-Generation Framework and Application for File
Characterization

8:00am-3:15pm, May 16, 2011

 

JHOVE2 is an open source framework and application for the 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 provides a
broad overview of JHOVE2, as well as detailed information on its
functionality, architecture, use in local workflows, and open source
community.

 

Benefits

This course enables the attendee to:

*         Understand the role of file characterization, including
identification, feature extraction, validation, and assessment, in
digital curation and preservation workflows.

*         Appreciate the functionality of the JHOVE2 application,
including the significant enhancements relative to JHOVE, and new
capabilities based on object- and aggregate-level characterization.

*         Learn 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.

*         Gain a better understanding of 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

Technologists, developers, managers, analysts, and administrators
engaged in digital curation, preservation, and repository activities
whose work is dependent on an understanding of the format and pertinent
characteristics of digital assets.