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DataSpace Data Visualization David Karger February 8, 2010 NSF Site Visit to MIT DataSpace 1.

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Presentation on theme: "DataSpace Data Visualization David Karger February 8, 2010 NSF Site Visit to MIT DataSpace 1."— Presentation transcript:

1 DataSpace Data Visualization David Karger February 8, 2010 NSF Site Visit to MIT DataSpace 1

2 DataSpace Visualization Drives Insight We need visualizations to help us understand our data – Formulate hypotheses – Then test/confirm them We use visualizations to communicate our insights to others February 8, 2010 NSF Site Visit to MIT DataSpace 2

3 DataSpace Visualizing Heterogeneous Data We propose to make data more available Which will encourage scientists to gather it across disciplines How will they look at it once they have it? – Discipline-specific visualization tools won’t know what to do with other Disciplines’ data We need data-agnostic visualization tools – Must we recourse to spreadsheets? February 8, 2010 NSF Site Visit to MIT DataSpace 3

4 DataSpace Visualization Ontologies We can ontologize the different ways of looking at information – Selection of attributes, layout, means of filtering View descriptions can travel with the data Ontology-aware tools can generate suitable visualizations on a variety of platforms Scientists can publish their visualizations with their conclusions February 8, 2010 NSF Site Visit to MIT DataSpace 4

5 DataSpace Fresnel Visualization Ontology Longwell Browser dsp:publicationFacets rdf:type facets:FacetSet; facets:facets ( dc:type dc:publisher dc:contributor dc:subject ); facets:types ( ow:Publication ). dsp:publicationLabelLens rdf:type :Lens; :classLensDomain ow:Publication; :group gr:group; :purpose :labelLens; :showProperties ( dc:title ). dsp:publicationLens rdf:type :Lens; :classLensDomain ow:Publication; :group gr:group; :purpose :defaultLens; :showProperties ( dc:description dc:identifier dc:creator dc:contributor dc:date dc:subject dc:type dc:publisher dc:rights ). dsp:creatorFormat rdf:type :Format; :group gr:group; :propertyFormat [ rdf:type :FormatDescription ; :contentNoValue "[none]" ]; February 8, 2010 NSF Site Visit to MIT DataSpace 5

6 DataSpace

7 Exhibit Framework In-HTML-document visualization ontology Author creates a data set – Excel spreadsheet, tabbed file, XML file, JSON Then writes HTML document – Specify view by embedding HTML “tags” from viz ontology Our javascript makes the data-interactive viz February 8, 2010 NSF Site Visit to MIT DataSpace 7

8 DataSpace Deployment Deployed 2 years ago Hundreds of exhibits created in the wild Healthy open source community – Fixing bugs, extending with new views Timeline on opendata.gov for several months February 8, 2010 NSF Site Visit to MIT DataSpace 8

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22 DataSpace INSIDE A WIKI February 8, 2010 NSF Site Visit to MIT DataSpace 22

23 DataSpace February 8, 2010 NSF Site Visit to MIT DataSpace 23

24 DataSpace OR A BLOG February 8, 2010 NSF Site Visit to MIT DataSpace 24

25 DataSpace February 8, 2010 NSF Site Visit to MIT DataSpace 25

26 DataSpace Going Forward Refine our understanding of the universal concepts of information visualization Deploy domain-independent tools that can use visualization descriptions to create effective visualizations of arbitrary data drawn from many locations – Data comes with its visualization descriptions – Fed to specialized widgets that fit the descriptions February 8, 2010 NSF Site Visit to MIT DataSpace 26

27 DataSpace What Widgets? Descriptions aren’t programs Won’t implement highly specialized views – Gene map, pie chart, heat map, star chart, scatter plot, chemical bond diagram… But these views can be implemented/packaged/downloaded for incorporation into the visualizers – Visualization “app store” Then referenced in viz description February 8, 2010 NSF Site Visit to MIT DataSpace 27

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30 DataSpace Scientific Publication At present, all our rich interactive visualization tools are inside the lab When it’s time to publish, we use papers with dead ink charts Move to publication of rich visualization descriptions inside the article Show the reader not just conclusions, but the way you looked at your data to reach them February 8, 2010 NSF Site Visit to MIT DataSpace 30


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