Slides from IWMW 2009 workshop session

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    Slides from IWMW 2009 workshop session - Presentation Transcript

    1. UKOLN is supported by: IWMW 2009 Hands-on prototyping for (meta)data structures Emma Tonkin Talat Chaudhri Alexey Strelnikov
    2. Introduction: metadata
      • What is it, why, and who cares?
      • Actually covers quite a lot of things:
      • Terminologies (taxonomies, controlled vocabularies)
      • Vocabularies
      • Data structures/models (entity-relationship models, conceptual models)
    3. Example
      • For example:
        • 'Event Metadata' excerpt
      • Event Type: Workshop
      • Workshop Location
      • Workshop Type
      • Workshop Date (ISO 8601/W3CDTF)
      • Opinion of Workshop {Boring, Interesting...}
    4. Eliciting information from users
      • People have many different opinions, and are capable of believing a lot of mutually contradictory ideas! :-)
      • Classification systems or data structures (hopefully) represent a consensus or at least a compromise
      • They therefore improve as we learn more about opinion
      • They also exist (and are useful) within a given context of use – for a given purpose
    5. Organisation...
      • Needs context!
      • And exists for a purpose!
      • Clean sock drawers are very nice, but don't necessarily achieve anything for those who don’t wear socks :)
    6. Prototyping techniques
      • Scope what we're trying to achieve!
      • Learning about data structures
      • Building quick easy models
      • Finding easy ways to test them
    7. Free-listing
      • 'Name all the x's you know'
        • eg. What types of image can you think of?
        • Or - What types of book are there?
        • Or - What features might you use to describe a book?
        • Or – What sort of resources do researchers create and publish?
        • You might have your own use cases to look at!
    8. Free-listing on “workshop metadata”
      • Peer review status
      • Date
      • Times
      • Duration
      • Event in which it occurs
      • Venue
      • Attendee list
      • Major trends, topics
      • Organiser(s)
      • Remote attendees?
      • Streamed?
      • Outputs?
      • Feedback
      • Presentations
      • Papers
      • Slides
      • Tutorials
      • Related articles, links, people
      • Coffee
      • Breaks
      • Networking (who met who)
      • Networking (wifi!!)
      • Pitches
      • Endorsements (SIG, etc)
      • Other events on similar topic
      • Other events run by same people...
      • Research area and findings
      • Related research activities
    9. Consistency
      • Build a table:
        • (Note: This is a lot like social tagging!)
      • Compare and contrast your results.
      Word Appearances Venue 5 Related research areas 2 Breaktime beverage 1
    10. Card sorting
      • Once you have some terms, then it's time to figure out how they fit together
      • This is especially easy to do with taxonomies
        • supports interface design by grouping functions/menus/etc,
        • Supports development of conceptual models
    11. Card Sorting: Method
      • Make sure you have something to sort (using for example the approach described earlier)
      • Bribe/trap some 'users' into agreeing to take part (note 'user' means 'the sort of person you are trying to write a system for')
      • After explaining the rules ('we're not testing you... just learning about the area') ask them to sort the cards into logical groupings
      • May be 'open' (users can create novel groupings or categories) or 'closed' (users must use predefined groupings)
    12. Using the results!
      • Another table can be built from these results:
        • Which categories were created?
        • How frequently were they used (how many users applied them?)
      Term/ Category Bird Nature Manmade Food Buildings Seagull 1 2 Lighthouse 1 1 Fish & Chips 2
    13. Evaluating an information structure
      • Scenario-based evaluation:
        • Get existing classification
        • Develop some scenarios for which it can be used
        • See if it is possible to step through the data structure in order to successfully complete a scenario
      • Example: Card sorting
    14. Final comments
      • A user level view of things is probably simplified (and so it should be!)
      • What the user sees does not have to be what you store...
      • What the developer sees probably does – good documentation helps to encourage uptake of data structures/metadata.
      • Test early, test often. Card is cheaper than code!

    + UKOLN (dev), University of BathUKOLN (dev), University of Bath, 3 months ago

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