Innovative Interfaces: making the most of the data we have

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    Innovative Interfaces: making the most of the data we have - Presentation Transcript

    1. Innovative Interfaces Making the most of the data we have Winona Salesky | Digital Initiatives Librarian | The University of Vermont [email_address] | http:// cdi.uvm.edu / | http:// thedil.wordpress.com /
    2. What role does metadata have a in a web 2.0 world?
    3.  
    4.  
    5. More familiar sites
    6.  
    7.  
    8. Where does the library fit in?
      • “ Let’s face it — the obsession with which a library describes an item is second to none. ”
              • - Peter Murray Disruptive Library Technology Jester
              • http://dltj.org/2006/06/dis-ils/
    9. What does all that rich metadata look like to our users?
    10.  
    11. Limitations of traditional library interfaces
      • Lack scan-ability
      • Limited search functionality
      • Difficult to create complex search strings
      • Difficult to manage large results sets
      • Difficult to make connections between related materials
      • Does not take advantage inherent flexibility of digital formats and the extensive nature of the metadata
    12. Scan-ability
      • Creates a hierarchy of importance by:
        • Grouping related items together
        • Making important information look different
        • Making clear distinctions between items
        • Provide visual clues for site functionality
        • Paying attention to white space
    13.  
    14. Limited search functionality
      • No spell check, or spelling suggest
      • No stemming
      • Limited to no relevance ranking
      • Little or no ability to refine results set
    15. Additional limitations
      • Difficult to create complex search strings
      • Difficult to manage large results sets
      • Difficult to make connections between related materials
      • Does not take advantage inherent flexibility of digital formats and the extensive nature of the metadata
    16. Leveraging our metadata
    17. Facets Topic Format Temporal Author Genre Geographic Area Facet: One of the sides of a body that has numerous faces. -OED, online
    18. Some advantages of facets
      • Increased avenues for discovery
      • Allows users to easily “build” complex searches
      • Prevent empty results sets
      • Integrates keyword searching with browse-ability
      • Always a visible “path” so users never feel lost
      • Allows users to expand and narrow results set
      • Easier to explore the true extent of the collection
      • Recognition over recall
      • Easy to add new facets, categories, or items
    19. Some limitations of facets
      • Use of facets will make inconstancies in metadata obvious to users.
      • Some facets become unmanageable with large results sets.
      • Facets work better on some fields than others.
    20. Some examples:
        • Flamenco
          • http:// flamenco.berkeley.edu /
        • NCSU
          • http:// www.lib.ncsu.edu /catalog/
        • MyResearch Portal VuFind
          • http://research.library.villanova.edu/ http:// www.vufind.org /
        • WorldCat
          • http:// www.worldcat.org /
        • Scriblio
          • http:// lamson.wpopac.com /library/
        • UVM Center for Digital Initiatives
          • http:// cdi.uvm.edu /
    21.  
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    27. Something a little different
    28. An Innovative Interface
      • http://well-formed- data.net/experiments/elastic_lists /
    29. Other projects to keep an eye on:
      • Blacklight
        • University of Virginia
      • eXtensible Catalog
        • A University of Rochester/Mellon funded project
      • Evergreen
        • Open source ILS led by the Georgia Public Library Service
      • Koha
        • Open source ILS
      • LibraryThing for libraries
        • Providing tagging, reviews and more for integration with library catalogs.
      • AquaBrowser
        • A Medialab Solutions project
      • Primo
        • From Ex Libris
    30. Barriers to change
      • Inflexible vendor based systems
      • Non-transparent data formats
      • Data inconsistencies
      • Lack of technological expertise on a library-by-library basis
    31. Where to next?

    + wsaleskywsalesky, 3 years ago

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