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→Contextually Rich Collections Without the Risk: Digital Forensics and Automated Data Triage for Digital Collections
* [[User:kamwoods|Kam Woods]], University of North Carolina at Chapel Hill, kamwoods@email.unc.edu
* Cal Lee, University of North Carolina at Chapel Hill, callee@-- at -- ils.-- unc.-- edu
* Matthew Kirschenbaum, University of Maryland, mkirschenbaum@gmail.com
Information on these devices may be sensitive, obscured by operating system arcana, or require specialized tools and procedures to parse. Furthermore, the sheer volume of materials being handled means that even simple tasks such as providing useful content reports can be impractical (or impossible) in current workflows.
Many of the tasks currently associated with data triage and analysis can be simplified and performed with improved coverage and accuracy through the use of open source digital forensics tools. In this talk we will discuss recent developments in providing digital librarians and archivists with simple, open source tools to accomplish these tasks. We will discuss tools and methods be tested, developed and packaged as part of the [BitCurator http:bitcurator.net] project. These tools can be used to reduce or eliminate laborious, error-prone tasks in existing workflows and put valuable time back into the hands of digital librarians and archivists -- time better used to identify and tackle complex tasks that *cannot* be solved by software.
[[Category: Code4Lib2012]]
