Video Recording: “CLOCKSS, LOCKSS and the “Long Tail,” Preserving at-Risk Publishers”

The following video recording of a CRL (Center for Research Libraries) webinar was recorded on December 1, 2016.
About the Webinar From CRL:

As part of an effort to strategically expand the universe of archived title holdings, CRL hosted a webinar in February, 2016, to examine how Portico has expanded its coverage of smaller electronic publishers, and the approach Portico is taking to capturing the journal content that remains “elusive” and at risk of “going dark.” This webinar will examine how communities use the Stanford University Libraries LOCKSS Program to preserve at risk content.
The LOCKSS technology’s flexible ingest methods allow the CLOCKSS Archive and other LOCKSS networks to drive down costs and dramatically expand the number of publishers under preservation. To further reduce costs, the LOCKSS software is evolving to use a state-of-the-art Web services architecture and converge with mainstream Web archiving. Communities using the LOCKSS Software are preserving over 1000 “long tail” journal publishers, where “long tail” is defined as publishers with ten or fewer journals. Content from these publishers is most at-risk for loss, making preservation vital to guarantee future access to the material for research and teaching.
Presentations from Victoria Reich and Nicholas Taylor will cover: the “long tail” defined and why it matters; why CRL libraries are interested in preserving the long tail;  how unique approaches implemented by the Stanford University Libraries LOCKSS Program work to preserve the long tail; what are the opportunities for preserving the long tail as a part of general web archiving activities; and how we might work together to address this critical need.

See Also: Video From Center For Research Libraries (CRL): Pursuing the “Long Tail” of Elusive Publishers (Portico)
Recorded in Feb. 2016.

Filed under: Academic Libraries, Companies (Publishers/Vendors), Libraries, News, Preservation, Video Recordings