In December, approximately 366,000, files representing over 43,000 items were accessioned into the Stanford Digital Repository (SDR). These materials include -- but are not limited to -- items from the Jarnydce Collection, TRAIL Maps Project, and the Revs Digital Library.
In November, approximately 80,000, files representing nearly 630 items were accessioned into the Stanford Digital Repository (SDR). These materials include -- but are not limited to -- items from the Gaihozu Maps, TRAIL Maps and the Jarndyce Collection.
The Stanford Media Preservation Lab (SMPL) has completed installation of audio and video digitization equipment in its new facilities at 425 Broadway in Redwood City, and has resumed all services. We're 100% back to work, supporting researcher access to SUL's world-class collections of sound recordings and moving images.
In October, approximately 44,500, files representing nearly 850 items were accessioned into the Stanford Digital Repository (SDR). These materials include -- but are not limited to -- items from the Walters Art Museum, R. Stuart Hummel Collection and the Jarndyce Collection.
During the week of November 4th, Julie Sweetkind-Singer hosted the California Rare Book School (http://www.calrbs.org/) with several sessions held at Stanford University Libraries. The CalRBS is an ongoing program founded by UCLA that educates students interested in the field of rare books. This specific course was designed to provide a general overview of the history of maps in the western world, as well as their use in modern-day teaching and research.
An update on Stanford's Cabrinety Software Preservation grant was recently presented to the Digital Library Federation conference in Austin, Texas. Highlights from the first year of this two year project include the successful forensic imaging and digital photography of almost 900 software titles representing over 116,000 unique files. The slides from the presentation are now available via slideshare at http://www.slideshare.net/molsontravel/dlf-snapshot2013draftcombined.
Forging collaborative partnerships with like-minded institutions can often yield unexpected and gratifying results. Stanford’s work with NIST (National Institute of Standards and Technology) on the Cabrinety Project is entering its second year, and recently one member of the NIST team discovered an important solution to a complex problem – how to extract forensically viable data from game cartridges.
Some of the items most recently deposited to the Stanford Digital Repository (SDR) include thousands of images that are nothing short of, well, ordinary. For instance, in the Names 100 Dataset, you can download a folder containing 80,000 small images depicting the faces of ordinary people. In another case, there are millions of snapshots of San Francisco street scenes and buildings. Each image is notable for its lack of distinction. It’s as if anyone could have captured these images using their smartphone. And that is precisely the point.