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At Pop Up Archive, we're helping solve this problem making the spoken word searchable. We began as a UC-Berkeley School of Information Master's thesis to provide better access to recorded sound for audio producers, journalists, and historians. Today, Pop Up Archive processes thousands of hours of sound from all over the web to create automatic, timestamped transcripts and keywords, working with media companies and institutions like NPR, KQED, HuffPost Live, Princeton, and Stanford. We're building collections of sound from journalists, media organizations, and oral history archives from around the world. Pop Up Archive is supported by the John S. and James L. Knight Foundation, the National Endowment for the Humanities, and 500 Startups.
== Digital Content Integrated with ILS Data for User Discovery: Lessons Learned ==
* Naomi Dushay, ndushay@stanford.edu, Stanford University Libraries
* Laney McGlohon, laneymcg@stanford.edu, Stanford University Libraries
So you want to expose your digital content in your discovery interface, integrated with the data from your ILS? How do you make the best information user searchable? How do you present complete, up to date search results with a minimum of duplicate entries?
At Stanford, we have these cases and more:
* digital content with no metadata in ILS
* digital content for metadata in ILS
* digital content with its own metadata derived from ILS metadata.
We will describe our efforts to accommodate multiple updatable metadata sources for materials in the ILS and our Digital Object Repository while presenting users with reduced duplication in SearchWorks. Included will be some failures, some successes, and an honest assessment of where we are now.
