A poster presented at AGU 2012.

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
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Long tail