Among the archival material from Salman Rushdie currently on display at Emory University in Atlanta are inked book covers, handwritten journals and four Apple computers (one ruined by a spilled Coke). The 18 gigabytes of data they contain seemed to promise future biographers and literary scholars a digital wonderland: comprehensive, organized and searchable files, quickly accessible with a few clicks
But like most Rushdian paradises, this digital idyll has its own set of problems. As research libraries and archives are discovering, “born-digital” materials — those initially created in electronic form — are much more complicated and costly to preserve than anticipated.
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Imagine having a record but no record player.
All of which means that archivists are finding themselves trying to fend off digital extinction at the same time that they are puzzling through questions about what to save, how to save it and how to make that material accessible.
“It’s certainly one of those issues that keeps a lot of people awake at night,” said Anne Van Camp, the director of the Smithsonian Institution Archives and a member of a task force on the economics of digital preservation formed by the National Science Foundation, among others.
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“I know of no other place in the world that is providing access through emulation to a born-digital archive,” said Erika Farr, the director of born-digital initiatives at the Robert W. Woodruff Library at Emory. (The original draft is preserved.)
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Located in Silicon Valley, Stanford has received a lot of born-digital collections, which has pushed it to become a pioneer in the field. This past summer the library opened a digital forensics laboratory — the first in the nation.
The heart of the lab is the Forensic Recovery of Evidence Device, nicknamed FRED, which enables archivists to dig out data, bit by bit, from current and antiquated floppies, CDs, DVDs, hard drives, computer tapes and flash memories, while protecting the files from corruption.
FreePint Family
Quilting big data threads
The fallacy of information overload
Information overload: fact, fantasy or filter failure? 
