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Is Quality Metadata Shareable Metadata?

Is Quality Metadata Shareable Metadata?. Sarah Shreeves Ellen Knutson University of Illinois at Urbana-Champaign ACRL 12 th National Conference Minneapolis, MN • 2005 April 9. IMLS Digital Collections and Content.

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Is Quality Metadata Shareable Metadata?

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  1. Is Quality Metadata Shareable Metadata? Sarah Shreeves Ellen Knutson University of Illinois at Urbana-Champaign ACRL 12th National Conference Minneapolis, MN • 2005 April 9

  2. IMLS Digital Collections and Content • Collection description and registry for IMLS National Leadership Grant projects with associated digital content • Enhance discoverability; all registry fields searchable • Item level metadata repository for content via OAI-PMH • Demonstrate potential of metadata for interoperability • Serve as testbed for IMLS projects interested in OAI-PMH • Facilitate reuse of information resources • Research questionHow can resource developers best represent collections and items to meet the needs of service providers and end users?

  3. Research Question:What do information quality metrics and local practice help us understand about the quality of metadata at the aggregated level? Methods: Combination of quantitative and qualitative data. Various statistical analyses of the harvested metadata records from four digitization projects 13 open ended interviews

  4. Characteristics of the four analyzed collections

  5. Information Quality Frameworks Gasser & Stvilia Framework Intrinsic Accuracy/Validity Cohesiveness Complexity Semantic consistency Structural consistency Currency Informativeness Naturalness Precision Bruce & Hillman Framework Bruce & Hillman Framework Accuracy Completeness Provenance Conformance to expectations Logical consistency coherence Timeliness Accessibility Accuracy Completeness Complexity Latency/speed Naturalness Informativeness Relevance Precision Security Verifiability Volatility Relational Authority Reputational

  6. Aggregated Environment AggregationActivities tension Normalization, Value Added Activities Local Environment Mappingand Exposure Content Creation Activities Digitization, application of metadata, application of controlled vocabulary Information Design Activities Collection decisions, Metadata scheme and controlled vocabulary selection

  7. Tensions and Trade-offs • Tensions between interoperability and local practice • Participants aware, but local practice takes priority • Barrier to participation in digitization projects

  8. What is sharable metadata? • Attention to certain quality measures helps make metadata more sharable • Consistency • Completeness • Ambiguity

  9. Example: Structural Inconsistency

  10. Example: Semantic Inconsistency

  11. Example: Completeness

  12. Example: Ambiguity

  13. Conclusions • Semantic and structural consistency • Minimize ambiguity • Include documentation • Exposure of richer metadata schemes? • Establish best practices for ‘shareable metadata’ (DLF and NSDL effort)

  14. Aggregated Environment AggregationActivities tension Normalization, Value Added Activities Local Environment Mappingand Exposure Content Creation Activities Digitization, application of metadata, application of controlled vocabulary Information Design Activities Collection decisions, Metadata scheme and controlled vocabulary selection

  15. Questions / Comments Welcome Sarah Shreeves sshreeve@uiuc.edu Ellen Knutson eknutson@uiuc.edu Acknowledgements: Our collaborators from the IMLS DCC project team: Timothy W. Cole – Principal Investigator Carole L. Palmer – Co-Principal Investigator Michael Twidale – Co-Principal Investigator Besiki Stivila – Research Assistant This research was funded by an IMLS National Leadership Grant

  16. Record in Local and Aggregated Environments

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