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...Archivematica is an open-source application based on recognized standards that makes it possible to preserve long-term access to your institution's digital content. Archivematica is a set of free software tools that allow the user to process digital objects from the moment they are entered into the system until their publication according to the ISO-OAIS functional model. The user can monitor and control the ingestion and preservation of micro-services through the control panel. Archivematica uses standards such as METS, PREMIS, Dublin Core, and the BagIt specification.
DIASER, Geo-data duplication long-term archive system & WAN vault. Manage mixed data archives generated by existing backup software. Ensure availability using commodity hardware. Retain administrative and financial control.
[2014-10-31] This project is obsolete, for latest version (6.1.3) see GitHub https://github.com/digital-preservation/droid (source) and http://www.nationalarchives.gov.uk/information-management/manage-information/preserving-digital-records/droid/ (binary)
DROID (Digital Record Object Identification) is an automatic file format identification tool. It is the first in a planned series of tools developed by The National Archives under the umbrella of its PRONOM technical registry service.
[2013-01-24] The binary download of the latest version of DROID has now been moved to The National Archives website: http://www.nationalarchives.gov.uk/information-management/projects-and-work/droid.htm
The source code for the latest version of DROID remains available via Github: http://digital-preservation.github.com/droid/
[2012-09-07] DROID 6.1 has been released. ...
Planets is a four year project co-funded by the European Commission to address core digital preservation challenges. The project has developed a suite of tools and services to support preservation of and access to digital content in the long term.
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The Cornell Web Lab Collaboration Server is a suite of tools and services for GUI-based extraction, analysis and sharing of archived web data. See http://weblab.infosci.cornell.edu/ and http://www.cs.cornell.edu/~weigel for details about the project.