CDLINFO News: Authored by John Kunze

BagIt celebrates twin milestones

April 11, 2019  |  Category:  Infrastructure Services,Newsletter  |  Author: 

If two digital archives have been exchanging digital content in the past five years, chances are they were using “BagIt”, a file packaging format that’s extremely popular in cultural … More

ARKs in the Open: Project Update #8, 2018 Wrap-Up and Looking to 2019

December 11, 2018  |  Category:  EZID,Identifiers,Infrastructure Services,Newsletter  |  Author: 

Building the ARK The ARKs-in-the-Open (AITO) team made great strides in 2018 toward their goal to transition the ARK specification and registry from the California Digital Library to a community … More

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ARKs in the Open: Project Update #7, inaugural meeting of the Advisory Group

July 30, 2018  |  Category:  EZID,Identifiers,Infrastructure Services,Newsletter  |  Author: 

The ARKs-in-the-Open Advisory Group (AG) met for the first time July 17, 2018. This is the high-level group that will provide the means for transitioning the ARK infrastructure (specification, NAAN … More

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Welcome YAMZ.net developer/intern Manoj Tuguru

September 22, 2016  |  Category:  Infrastructure Services,Newsletter,Staff News  |  Author: 

We are happy to announce the arrival of Manoj Tuguru at CDL as a developer intern. Manoj graduated in June with a Master of Science in Software Engineering degree from … More

CDL welcomes Greg Janée

February 4, 2010  |  Category:  Newsletter,Staff News,UC Curation Center (UC3)  |  Author: 

By John Kunze, CDL Preservation Technologies Architect Please join me in welcoming a new half-time developer, Greg Janée to the UC Curation Center.  Greg will be working remotely from Santa … More

CDL Staff in Print

July 15, 2008  |  Category:  Newsletter,UC Curation Center (UC3)  |  Author: 

CDL’s Preservation Program staff member Erik Hetzner presented a paper at JCDL (Joint Conference on Digital Libraries) in Pittsburgh, Pennsylvania last month.  His paper is entitled, "A simple method for citation metadata extraction using hidden Markov models" and is now available online.