SEAD: Opening Data in the "Long Tail" for Active and Social Curation
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SEAD: Opening Data in the "Long Tail" for Active and Social Curation

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A poster presented at AGU 2012.

A poster presented at AGU 2012.

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SEAD: Opening Data in the "Long Tail" for Active and Social Curation SEAD: Opening Data in the "Long Tail" for Active and Social Curation Presentation Transcript

  • SEAD: Opening Data in the “Long Tail” for Active and Social Curation AGU2012 IN13B-1505 Margaret Hedstrom, University of Michigan hedstrom@umich.edu, , Praveen Kumar, University of Illinois kumar1@illinois.edu Jim Myers, Rensselaer Polytechnic Institute MYERSJ4@rpi.edu Beth A. Plale, Indiana University plale@cs.indiana.edu Web & Desktop Interfaces Deposit - Store – View – Annotate Organize - Discover Active Curation Services Collect data/metadata Generate derived data products New dataset with improved visualization and better representation of the scene + Hyperspectral Image Vector GIS map Virtual Archive Services Virtual Social Curation Services Discover projects – people – expertise - publications – data - discussion Big Data Reuse Data Discovery and Ruse Deposit Data Curate Data Discover Archived Data Secure storage for active data Automatic metadata extraction Display of data on map overlays Preview data in thumbnails Easy upload and download of data sets Data sharing controlled by the data owner Annotation and tagging Discovery of active data Integration of data in diverse formats Export to permanent archives (local institutional repositories, topical archives)  Discovery of data and publications  Reuse data  Visualize data in citation & topic networks Social Curation Actionable data layer Create & Analyze Data Publish Results           Long tail