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MW2012 - Providing Accessible Online Collections, The Metropolitan Museum of Art
 

MW2012 - Providing Accessible Online Collections, The Metropolitan Museum of Art

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A presentation from Rachael Rainbow of Cogapp and Matt Morgan of The Metropolitan Museum of Art for the Museums and the Web Conference on April 14th 2012. The presentation concentrates on the ...

A presentation from Rachael Rainbow of Cogapp and Matt Morgan of The Metropolitan Museum of Art for the Museums and the Web Conference on April 14th 2012. The presentation concentrates on the research, development and outcomes of the award winning collections section of the redeveloped www.metmuseum.org website.

For the full paper accompanying this presentation please see: http://www.museumsandtheweb.com/mw2012/papers/providing_accessible_online_collections

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MW2012 - Providing Accessible Online Collections, The Metropolitan Museum of Art MW2012 - Providing Accessible Online Collections, The Metropolitan Museum of Art Presentation Transcript

  • Providing AccessibleThe Metropolitan Online CollectionsMuseum of Art www.metmuseum.org Rachael Rainbow, Cogapp Matt Morgan, The Metropolitan Museum of Art
  • Content Pre-existing online collection User research Collections data issues The search system Accessing the collections
  • Section 1 Pre-existing online collection User research Collections data issues The search system Accessing the collections
  • Original Online Collections Architecture for Metmuseum.orgTMSData TMS Extract Online Collections Database (CRD) Website Front-end
  • Section 2 Pre-existing online collection User research Collections data issues The search system Accessing the collections
  • User Research ApproachUser centred design approach46 individual user interviewsCard sorting with 14 usersIterative user testing
  • Card SortingOpen card sort63 artwork cardsOrder of data oncards randomized
  • Card Sorting FindingsGeneral visitors - strong visualresponse; sorted quicklyFrequent visitors - also visual but alsoused familiar curatorial departmentsResearchers and academics - used dataUsers wanted to explore the artworksin their context
  • “We love the marvelous conjunctions, the curiosity chest is more exciting. I’m reaffirming this boring Janson* breakdown but I’m open to new ways to explore and see.” - Virginia, researcher / academic *well-known history of art textbook
  • User GoalsImportant to find 1. Find a specific artwork.an entry point that 2. Find artworks by time period.resonates with the user 3. Research specific civilizations. 4. Search by a place or country. 5. Find artworks by genre. 6. Search for paintings by school. 7. Search for types of artifacts. 8. Find out about a specific artist.
  • Search FacetsWhothe artist, maker or the culture of the workWhatthe technique or material used for the artworkWheregeographic locationWhenera or date the artwork was madeIn the Museumthe department in the Museum
  • Section 3 Pre-existing online collection User research Collections data issues The search system Accessing the collections
  • Data IssuesDifferent departments have different dataSpellings varyPreferred terms may be in other languagesData comes from multiple sourcesDepartments define fields differentlyGranularity of terms varies
  • The Data ProcessorAutomated term extraction with manual override
  • Term Matching1. Mapping the collections data to thesauri2. Mapping rules set by Museum staffEnables the Museum to:- Set preferred terms- Exclude terms that are not meaningful to end users or not meaningful in a specific context- Enable inferences to be made- Assign priorities to terms
  • Raw InputWho – artist’s name(+ culture for some departments)Where – geography(+ culture if not included in ‘who’)+ artist’s nationality (where available)What – medium + classification + object nameWhen – date(beginning and end dates)In the Museum – Museum department
  • Collection Object Field Data Raw Term FilteringRaw TermMapping Raw Terms Source Term ExtractionSource TermMapping Rules Source TermsAAT/TGN TermPriority Rules Source Term MatchingAAT/TGN TermMapping Rules Index Terms
  • Open card sort63 artwork cardsOrder of data oncards randomized
  • Section 4 Pre-existing online collection User research Collections data issues The search system Accessing the collections
  • Solr- Speed- Supports custom integration- Faceting- Proven track record in the web search arena- Scalable- Commercial support available
  • Original Online Collections Architecture for Metmuseum.org (simplified view)TMSData TMS Extract Online Collections Database (CRD) Website Front-end
  • Online Collections Architecture for Metmuseum.org - revised TMS Data Online TMS Collections Extract Database (CRD)Thesauruses AAT TGN Thesauruses Knowledge Data Knowledge Bases Processor Bases Rules etc... Website Solr Front-end
  • Pros & ConsData processor Effort needed to create the mapping rules for the data processor Better result for end users Reassures the curatorsSolr Solr is simple yet powerful Additional component in the system Is performing well and returning relevant results
  • Section 5 Existing online collection User research Collections data issues The search system Accessing the collections
  • Suggested Searches
  • Free text searches
  • Faceted search
  • Onward journeys
  • Onward journeys
  • Repeat visits, time on site, pages and visitsare all well above the earlier site’s average
  • Thank youThe MetropolitanMuseum of Art www.metmuseum.org www.cogapp.com