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Jonathan Crabtree Assistant Director of Computing and Archival Research UNC Chapel Hill, Odum Institute Vision for Sociometric Analysis of Long-tail Science Data Slide 2 Slide 3 Motivation Slide 4 How do we cope? Metadata creation Data discovery Data organization http://blog.whatarmy.com/overwhelmed-by-social-media// Slide 5 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 Slide 6 http://www.eylerwerve.com/2012/crm/ http://visualparadox.com/wallpapers/binary1600.htm Slide 7 Data Gatherer Data variables Metadata Audit trails Analytical methods Publications Slide 8 Relevance Algorithms Data to Data User to Data Methods to Data Slide 9 Sociometric Network Analysis Community detection Clustering Slide 10 Slide 11 Slide 12 Benefits Slide 13 Assisted Metadata Machine learning algorithm Benefits Slide 14 Human Input Interaction with archivist and researchers Benefits Slide 15 Standardized APIs Designed to work with repositories Benefits Slide 16 Guided Metadata Creation Assist with keyword selection Suggest ontologies Benefits Slide 17 Linking Data Across data types Across disciplines Benefits Slide 18 Recommending Data Collaborative filtering Multi-disciplinary team suggestions Slide acknowledgment: Wikimedia Commons http://psychosocial.actalliance.org/default.aspx?di=65446&ptid=66401 Benefits Slide 19 Thank You Jonathan_Crabtree@unc.edu http://www.odum.unc.edu http://databridge.web.unc.edu