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CULAR

CULAR. Cornell University Library Archival Repository Metadata Working Group 09/21/2012. Intro to service “Objects” Focus on metadata Work to be done Focus on metadata Discussion Anything. Outline. CULAR is a service that preserves CUL digital assets over the long-term.

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CULAR

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  1. CULAR Cornell University Library Archival Repository Metadata Working Group 09/21/2012

  2. Intro to service • “Objects” • Focus on metadata • Work to be done • Focus on metadata • Discussion • Anything Outline

  3. CULAR is a service that preserves CUL digital assets over the long-term. What is CULAR?

  4. Project Charter – 2009 • Preceded by other explorations • Development 2+ years and continuing • Current pause in IT development due to Hydra/Blacklight • Sensitive data (Compliance with Cornell Policy 5.10, and applicable federal statutes.) • Procedures around ingest, metadata • Currently, paint is still wet…service is expected to evolve. History

  5. Sponsors IT Development Policy/Procedure/ Planning Eli Brown Jim DelRosso Eileen Keating Marty Kurth David Ruddy IanthaHaight Marty Schlabach Gail Steinhart Glen Wiley • Jon Corson-Rikert • David Fielding • Shin-Woo Kim • Martin Lessmeister • Simeon Warner • Frances Webb • Dean Krafft • Oya Rieger • John Saylor Thank you

  6. Sponsors IT Support/Devel. Steering Committee Michelle Paolillo(Manager, Chair) Jim Del Rosso (Dig. Proj. Coord., ILR/HOTEL/JGSM) Jason Kovari (Metadata Librarian) Liz Muller (Curator Media and Dig. Coll./Head of Arch. Tech. Serv.) Steve Rockey (Dir/Coord. EMPSL) Dave Vernon (Assoc. CIO, CIT Serv.) Simeon Warner (Dir. Repo./Arch./Serv.) • Simeon Warner (Dir. Repo./Arch./Serv.) • Martin Lessmeister Programmer • Shin-Woo Kim Programmer • David Fielding Programmer • Bill Kehoe Programmer • Dean Krafft (AUL, CUL-IT) • Oya Rieger(AUL, DS&PS) • John Saylor (AUL, SR&SC) Service Anatomy

  7. Metadata is how we remember. In the case of CULAR, “remembering” is institutional, and has to last a very long time…. Overview of Metadata

  8. Aggregation Objects Resource Objects Metadata Objects Object Types

  9. Required • Steward, title, creator, scope, access, etc. • Use schema EAD (and document!) • Manually derived, but form-driven • Standardization/Ease of use • Renders XML Collection level description

  10. Dublin Core • JHOVE • Validation – but modules are limited (AIFF, ASCII, GIF, HTML, JPEG, JPEG2000, PDF, TIFF, UTF8, WAVE, XML) • Extraction of technical specifications (if they exist) • Checksums (3 algorithms) Item level CULAR derived

  11. Optional • Ideally created as project is created • Must be valid XML, any schema • Non-XML ingested as a resource object, and referenced in collection level descriptive metadata. Item levelsteward supplied

  12. Requirements Strategies Yes Yes, but limited Yes Yes, but implied Yes • Provenance • Authenticity • Preservation activity • Technical environment • Rights management “Scorecard”

  13. On wish list - modules to validate a wider range of file types • Capture of date last modified by JHOVE • Web presence for depositors • Guidance for engaging the service • Web form for collection level description Work on deck

  14. What are we are missing? • What should we be planning for? • What suggestions do you have for strategies? • What sorts of metadata do you feel is necessary for your collections? Discussion

  15. Thank you!

  16. Wiki for CULAR service (coming soon…) • Library Permit only (requires login to Confluence) • https://confluence.cornell.edu/x/e4ABCw • Wiki for development effort • Library Permit only (requires login to Confluence) • https://confluence.cornell.edu/x/LpuCBg Resources

  17. Michelle Paolillo CULAR Manager map6@cornell.edu Contact

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