NDSA:Tuesday, January 31, 2017: Difference between revisions
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== Attendees == | == Attendees == | ||
Carol Kussman | * Carol Kussman | ||
Ed Busch | * Ed Busch | ||
Martin Kong | * Martin Kong | ||
Leah Prescott | * Leah Prescott | ||
Bonnie Gordon | * Bonnie Gordon | ||
Euan Cochrane | * Euan Cochrane | ||
Juan C. Romero | * Juan C. Romero | ||
Antonio Guillermo Martinez | * Antonio Guillermo Martinez | ||
Andrew Berger | * Andrew Berger | ||
David Pcolar | * David Pcolar | ||
Nicole Scalessa | * Nicole Scalessa | ||
Sibyl Schaeffer | * Sibyl Schaeffer | ||
Megan Rohleder | * Megan Rohleder | ||
Nick Krabbenhoeft | * Nick Krabbenhoeft | ||
== Agenda == | == Agenda == |
Revision as of 14:43, 31 January 2017
Attendees
- Carol Kussman
- Ed Busch
- Martin Kong
- Leah Prescott
- Bonnie Gordon
- Euan Cochrane
- Juan C. Romero
- Antonio Guillermo Martinez
- Andrew Berger
- David Pcolar
- Nicole Scalessa
- Sibyl Schaeffer
- Megan Rohleder
- Nick Krabbenhoeft
Agenda
- Digital Media Log application overview - Bonnie Gordon
- LibSafe overview - Juan Romero
- Review Infrastructure Interest Group description on website: http://ndsa.org/working-groups/infrastructure/
- What do we want to keep? Revise?
- Which of the projects listed do we want to push forward?
- Updates from working groups:
- Fixity working group
- Staffing survey working group
Minutes
Digital Media Log application overview - Bonnie Gordon
- Ruby-on-Rails worfklow app built to support inventory/imaging digital storage media included in archival collections
- Retrieves contextual data from ASpace API and exports JSON for storage with AIP
- https://github.com/RockefellerArchiveCenter/dm_log
LibSafe overview - Antonio Guillermo Martinez
- LibNova is a digital preservation system builder since 2009 with US offices since 2016
- Presented case study in implementing a digital preservation system for 1 PB of data for Madrid City Hall
- Used Level 4 of the NDSA Levels of Preservation as a reference to define system functions
- Connected preservation storage system to access/discovery interface (Blacklight [1])
- Used automated classifier to recognize and organize 98% of data staged for ingest
- Scaled ingest processes across cloud servers to account for increased demand during initial ingest
- System checks fixity every month, requires 2 weeks to finish hashing