Cultural Heritage Information Dashboards

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Large-scale aggregations of digital collections from libraries, archives and museums offer users unprecedented access to cultural heritage materials. But they also have failed to incorporate important contextual information that allows users to develop an understanding of the significant features of purpose-built collections. This paper explores the development of information dashboard prototypes that provide users a high-level overview of cultural heritage collections. Two case studies using rapid-prototyping methodologies are presented.

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  • Need to continue user-centered research for audience not familiar with seeing collections in visual ways. What else to visualize How to visualize it.
  • Cultural Heritage Information Dashboards

    1. 1. Cultural Heritage Information Dashboards Conference 2010 Richard Urban Michael B. Twidale University of Illinois Piotr Adamczyk Metropolitan Museum of Art
    2. 2. <ul><li>Conventional text-based displays are unable to offer us any overall impressions of the millions of items contained in modern collections….Searching the collections is something like wandering through narrow paths in a forest . </li></ul>
    3. 3. <ul><li>what we need is a map </li></ul><ul><li>Mitchell Whitelaw </li></ul><ul><li>Visible Archives Project </li></ul>
    4. 4. Currently available digital cultural heritage collections are just the tip of the iceberg.
    5. 5. Millions more are waiting to be Digitized
    6. 8. Opening History
    7. 12. Early Sketches
    8. 15. Patchwork Prototyping
    9. 16. http://www.richardjurban.net/dashboard
    10. 19. Museum Pipes
    11. 20. Museum Pipes Make small adjustments on data as it flows through different modules
    12. 25. Pipes Aggregator <ul><li>Find all of the object related information available on the web, anywhere. </li></ul>
    13. 26. Museum Pipes
    14. 30. <ul><li>Visualization quality depends on metadata quality </li></ul><ul><ul><ul><li>Need aggressive normalization of anything you want to visualize. </li></ul></ul></ul><ul><ul><ul><li>Are these better visualizations of the metadata – or the collections themselves? </li></ul></ul></ul>
    15. 32. <ul><li>Even normalized data needs to be translated for use in different services. </li></ul><ul><ul><li>JSON, CSV, RSS, etc. </li></ul></ul>
    16. 33. From this space…
    17. 34. … .To this space
    18. 35. Image Credits <ul><li>http://www.flickr.com/photos/smithsonianlibraries/4312515246/ </li></ul><ul><li>http://www.flickr.com/photos/pfly/154053611 / </li></ul><ul><li>Quote from Mitchell Whitelaw The Visible Archive Project http://visiblearchive.blogspot.com </li></ul><ul><li>http ://www.flickr.com/photos/leoffreitas/332360959 / </li></ul><ul><li>http://www.flickr.com/photos/statelibraryofnsw/2867425266/ </li></ul><ul><li>http://www.flickr.com/photos/musebrarian/3693485492/ </li></ul><ul><li>http://www.flickr.com/photos/21843970@N00/4207517333/ </li></ul><ul><li>http://www.flickr.com/photos/seattlemunicipalarchives/3762792170/ </li></ul><ul><li>http://www.flickr.com/photos/library_of_congress/2178354733/ </li></ul><ul><li>Workers assembling dashboards for automobiles in an unidentified factory. Courtesy University of Southern California. Libraries http://digitallibrary.usc.edu/assetserver/controller/view/CHS-33163 </li></ul><ul><li>http://www.flickr.com/photos/zen/413575764/ </li></ul><ul><li>http://www.flickr.com/photos/rxmflickr/4102530508/ </li></ul><ul><li>http ://www.flickr.com/photos/cobalt/359647981/ </li></ul><ul><li>http://www.flickr.com/photos/coconino/1426568341/ </li></ul><ul><li>http://library.clevelandart.org/focus/200807.php </li></ul>Portions of this research funded by :

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