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What can we do as a community to move beyond our build-first-ask-questions-later mentality and embed sustainability into our new and existing ideas and products without moving toward commercialization? I fully expect we’ll end up with more questions than answers, but let’s spend some talking about our predicament and yours and think about how we can come out the other side.
== 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@ils.unc.edu
* Matthew Kirschenbaum, University of Maryland, mkirschenbaum@gmail.com
Digital libraries and archives are increasingly faced with a significant backlog of unprocessed data along with an accelerating stream of incoming material. These data often arrive from donor organizations, institutions, and individuals on hard drives, optical and magnetic disks, flash memory devices, and even complete hardware (traditional desktop computers and mobile systems).
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 how these tools and methods 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]]