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Vision for Sociometric Analysis of Long-tail Science Data. Jonathan Crabtree Assistant Director of Computing and Archival Research UNC Chapel Hill, Odum Institute. Motivation. How do we cope?. Metadata creation Data discovery Data organization.
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Vision for Sociometric Analysis of Long-tail Science Data Jonathan Crabtree Assistant Director of Computing and Archival Research UNC Chapel Hill, Odum Institute
How do we cope? • Metadata creation • Data discovery • Data organization http://blog.whatarmy.com/overwhelmed-by-social-media/
Data Similarity • What can we learn by comparing? http://www.gotyourhandsfull.com/2009/09/twins-and-more-on-a-tuesday-post-natal-depression-in-multiple-birth-mums.html
http://www.eylerwerve.com/2012/crm/ http://visualparadox.com/wallpapers/binary1600.htm
Data Gatherer • Data variables • Metadata • Audit trails • Analytical methods • Publications
Relevance Algorithms • Data to Data • User to Data • Methods to Data
Sociometric Network Analysis • Community detection • Clustering
Benefits Assisted Metadata • Machine learning algorithm
Benefits Human Input • Interaction with archivist and researchers
Benefits Standardized API’s • Designed to work with repositories
Benefits Guided Metadata Creation • Assist with keyword selection • Suggest ontologies
Benefits Linking Data • Across data types • Across disciplines
Benefits Recommending Data • Collaborative filtering • Multi-disciplinary team suggestions Slide acknowledgment: Wikimedia Commons http://psychosocial.actalliance.org/default.aspx?di=65446&ptid=66401
Thank You Jonathan_Crabtree@unc.edu http://www.odum.unc.edu http://databridge.web.unc.edu