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Metadata Quality Assurance : The University of North Texas Libraries Experience

Metadata Quality Assurance : The University of North Texas Libraries Experience. Daniel Gelaw Alemneh & Hannah Tarver 3rd annual Texas Conference on Digital Libraries (TCDL) May 27-28, 2009. Information Retrieval. . Document Representation. Information Need. Document. Query. Match.

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Metadata Quality Assurance : The University of North Texas Libraries Experience

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  1. Metadata Quality Assurance: The University of North Texas Libraries Experience Daniel Gelaw Alemneh & Hannah Tarver3rd annual Texas Conference on Digital Libraries (TCDL) May 27-28, 2009

  2. Information Retrieval . Document Representation Information Need Document Query Match Bates, M. J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5), 407-424.

  3. Trends • Information creation, organization, retrieval, use, and preservation is becoming more complex • User as creator, annotator, indexer, searcher, and eventual user of his/her content • Visualization of the information space instead of a ranked list of search results

  4. Total Sites Across All Domains August 1995-April 2009 Hostnames Active 232000000 162400000 92800000 0 Jan 1996 Jan 2000 Jan 2005 Apr 2009

  5. Digital Projects • UNT Digital Collections • Portal to Texas History • 100 + Collaborators • Congressional Research Service Archives • Other Statewide and National Projects

  6. Factors Influencing Metadata Quality Local Requirements: • Objects • Granularity • Functionality • Collaborative Requirements: • Diversity of Users • Interoperability • Digital Rights Issues

  7. Poor Metadata Quality Ambiguities Poor recall Poor precision Inconsistency of search results

  8. Common Errors The data is: • Incorrect • Missing • Ambiguous

  9. Metadata Quality Assurance Mechanisms & Tools at UNT Post-Ingest Pre-Ingest Training Analysis Tools Creation Tools Proofing & Editing Tools

  10. Training • Face-to-Face Instruction • Metadata Schema & Documentation • Internal Project Wikis • Staff Support

  11. Metadata Creation Template

  12. Template Validation

  13. Template Reader

  14. jEdit Text Editor

  15. UNT Metadata Analysis Tools: Post-ingest

  16. Enhanced by Highlighter– On/Off Enhanced by Qualifier– Use/Ignore

  17. Null Value Analysis Tools

  18. Controlled Vocabularies (UNTL-BS)

  19. Better Metadata More Functionality

  20. Better Metadata More Functionality

  21. Summary • Determine level of quality required • Determine nature of gap and how to close it • Machine verses human error handling • Compromise • Prioritize • Test the workflow

  22. Measure Quality and Usefulness of UNT Metadata UNTL Metadata UNTL Metadata Generation User Data Entry Evaluation C h a n g e User System Browsing Searching Precision Recall Understanding

  23. References & Web Sites Consulted • Bates, M. J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5), 407-424. • Netcraft (2009). April 2009 Web Server Survey. Retrieved May 19th, 2009 from http://news.netcraft.com/archives/web_server_survey.html • OCLC (2007). Sharing, privacy and Trust in our Networked World. Retrieved May 19th, 2009 from http://www.oclc.org/reports/pdfs/sharing.pdf • TechSmith, Co. (2008). “UX 2.0: Any User, Any Time, Any Channel.” Retrieved May 19th, 2009 from: http://download.techsmith.com/morae/docs/UserExperience2_0.pdf • UNT Libraries Metadata Initiative page. Retrieved May 19th, 2009 from: http://www.library.unt.edu/digitalprojects/metadata

  24. Questions?

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