Z39'87 at DCAPS Oya Rieger - PowerPoint PPT Presentation

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Z39'87 at DCAPS Oya Rieger

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Other examples include UKOLN Collection Description & DC Collection ... Kodak CD. Scanned In-house. Publication CD. Workflow. Start with sample MIX document ... – PowerPoint PPT presentation

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Title: Z39'87 at DCAPS Oya Rieger


1
Z39.87 at DCAPSOya Rieger Danielle
MericleDigital Media Group, DCAPSMay 2005CUL
Metadata Forum
2
Images _at_ CUL
3
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4
Managing Image Collections Essential Layers of
Information
IMLS DCCCollection Registry
  • Collection attributes
  • Project specifications
  • Institutional profile

PREMIS Preservation Metadata OAIS
  • Preservation metadata elements
  • Storing and managing metadata

Z39.87 Basic Image Parameters Image
Creation Image Performance Assessment Change
History
  • Capture production metadata
  • Render images accurately
  • Support migration

Other examples include UKOLN Collection
Description DC Collection Description Profile
5
Implementing Z39.87
  • General Policy Decisions
  • Does every project necessitate implementation?
  • Which elements are appropriate for a given
    collection (most are optional)? How much needs
    to be captured?
  • Challenges
  • New to the schema
  • Vocabulary--what does YCbCrSubsampling mean,
    anyway?
  • Fitting into overall workflow

DCAPS Implementation Team Marty Kurth, Danielle
Mericle, Greg Nehler, Rick Silterra
6
  • Classics Department
    Kevin Clinton
  • Migrating an image collection of ancient Greek
    inscriptions from the Sanctuary of the Mysteries
    of Eleusis
  • 900 images to a Luna Collection.
  • Collection level metadata created using NISO MIX
    schema
  • Three different types of images
  • Kodak CD
  • Scanned In-house
  • Publication CD

7
Workflow
  • Start with sample MIX document
  • Pull Jhove records (image level data)
  • Eliminate variable information (for collection
    level records)
  • Annotate records (capturing information
    eliminating any unnecessary fields)
  • Create xml files for each image type
  • Import xml into METS document

8
Challenges of Clinton Collection
  • Working with three different image types added
    complexity to the process- more information to
    gather and track
  • Issues associated with Migrated Image type
  • Unaware of original scanning set-up
  • Limitations to change history field- difficult
    to fully capture conversion method within this
    schema

9
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