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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

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

  • 1. 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