Title: Z39'87 at DCAPS Oya Rieger
1Z39.87 at DCAPSOya Rieger Danielle
MericleDigital Media Group, DCAPSMay 2005CUL
Metadata Forum
2Images _at_ CUL
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4Managing 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
5Implementing 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
-
7Workflow
- 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
8Challenges 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
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