Blog topic: Stanford Digital Repository
During the fall of 2013, Stanford University Libraries (SUL) convened a working group to investigate the current state of access to audio and moving image materials held within its various collections, notably rare materials within its different special collections departments, along with those held at the Hoover Institution Library and Archives.
Following many weeks of investigation, the Media Access Working Group (MAWG) produced a report in December 2013 outlining its findings, along with various recommendations to help tackle the issues discovered. The group considered issues relating to use cases, copyright status, available technologies - including media streaming, and content usage.
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.
The University Archives recently collaborated with faculty in the Computer Science Dept. to create a collection in the Stanford Digital Repository of white papers for an upcoming NSF summit on the future of computer science education.
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.
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.
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.