Difference between revisions of "DROID Siegfried Sqlite Analysis Engine"
(Changing repository location,)
m (Ross-spencer moved page DROID sqlite analysis to DROID Siegfried Sqlite Analysis Engine: Title changed to reflect tool's capabilities.)
Revision as of 03:53, 12 May 2017
Engine for analysis of DROID CSV export files, Siegfried YAML export files, and Siegfried 'DROID compatible' output. The tool has three purposes, break the exports into their components and store them within a table in a SQLite database; create additional columns to augment the output where useful; and query the SQLite database, outputting results in a readable form useful for analysis by researchers and archivists within digital preservation departments in memory institutions.
The tool provides archivist definitions for each of the sections output; these definitions are customisable. The tool also supports output of statistics about files that may require further triage or may not be appropriate for long-term preservation based on institutional rules, in the form of a blacklist. The tool also analyses file names and directory names for non-ascii characters, and also characteristics that may present problems cross-file-system based on known Microsoft rules: http://msdn.microsoft.com/en-us/library/aa365247(VS.85).aspx
The engine can be used to generate a list of file paths for files that may present digital preservation risks (Rogues) or files which on the surface i.e. via identification alone, look okay (Heroes) and these listings can be used in conjunction with rsync to isolate these sets from one-another to be more flexible to work with.
- Blog entries from the tool author, Ross Spencer:
- [2014-06-03] Describing the creation and purpose of the tool.
- [2015-08-25] Using the output of the tool to create a digital preservation rogues gallery.
- [2016-05-23] The integration of Siegfried output for consistent and repeatable reporting.
- [2016-05-24] Creating a multi-lingual consistent, digital preservation dialect and exploring alternative methods of format identification using Siegfried's capabilities.
All development activity is visible on GitHub: http://github.com/ross-spencer/droid-sqlite-analysis/commits
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