Central Registry for Digitized Objects: Linking Production and Bibliographic Control

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Central Registryfor Digitized ObjectsLinking
Production andBibliographic Control
Ralf StockmannGöttinger Digitization Center
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As things are now

• Huge ventures in
• Digitization
• Google
• Microsoft
• National programs
• Local centers
• Accessibility
• World Digital Library
• European Digital Library
• National portals
• Google Book Search

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As things are now

• We just face the dawn of mass digitization
• Leaving behind the state ofmanufacturing
• Entering industrialization
• Scanning Robots
• Accessible Full Text (OCR)

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Lack of

• Coordination in digitization activities
• Who scans what where when in which quality and
  how will it be accessible
• How is quality defined?
• Do we agree on what?

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Facing the Consequences
TechnicalImprovements
Costs
Waste of Ressources
AdditionalBenefit
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The Solution

• Central registry for digitized objects
• Focused on the production context (no user
  frontend)
• API driven
• Application Programming Interface
• Query / Ingest
• Simple implementation into existing
  workflow-tools
• Batch mode (lists)
• Open Source / free service
• Matching on volume level
• Score / probability

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Implementation
Backend Services EROMM / EDL / OCLC /
Registry / Meta Data Store
Aggregator / Normalizer / Mapping
API
Query
Ingest
Ingest
Ingest
Collections / Projects
!
!
!
Notice of Intent
Running Project
Present Collections
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Metadata Store

• Bibliographic
• Title
• Author
• Date
• Place of publication
• Number of Pages (?)
• Language
• Print / Format
• Edition
• Technical
• Resolution
• Color depth
• File type / compression
• Accessibility
• Institution
• Persistent identifier
• Rights
• URL
• Status

Matching / Score what
Additional Judging who, where, which quality,
how accesible
Decisive Factor when
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Obstacles

• (open source) Tools for automated matching /
  scoring?
• Interface for manual comparison / decision making
• Multivolume works low rate of uniformity (near
  50 of physical SUB stock before 1900)
• Unicode
• Transliteration tables
• Random bound books
• Reliable identifier
• ISBN for old books?
• Anticipated rate of accuracy 50 70

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Appreciation of Values

• The goal is NOT to build a reliable database in
  terms of library standards
• But to prevent further waste of resources.
• If we manage to archive just 50 precision,
• We saved a min. 50 of founding!

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Work Packages

• Define metadata model
• Set up database
• Implement mapping tools
• Define API calls
• Implement API
• Build some connectors to popular mass
  digitization workflow tools (e.g. Goobi)
• Establish ISBN workflow
• Harvest existing sources
• Start with a community of actual projects
• Get some (!) founding
• Estimated schedule plan 6 months

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Thank You(stockmann_at_uni-goettingen.de)