1. Jonathan Crabtree Assistant Director of Computing and Archival Research UNC Chapel Hill, Odum Institute Vision for Sociometric Analysis of Long-tail Science Data

3. Motivation

4. How do we cope? Metadata creation Data discovery Data organization http://blog.whatarmy.com/overwhelmed-by-social-media//

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

6. http://www.eylerwerve.com/2012/crm/ http://visualparadox.com/wallpapers/binary1600.htm

7. Data Gatherer Data variables Metadata Audit trails Analytical methods Publications

8. Relevance Algorithms Data to Data User to Data Methods to Data

9. Sociometric Network Analysis Community detection Clustering

12. Benefits

13. Assisted Metadata Machine learning algorithm Benefits

14. Human Input Interaction with archivist and researchers Benefits

15. Standardized API’s Designed to work with repositories Benefits

16. Guided Metadata Creation Assist with keyword selection Suggest ontologies Benefits

17. Linking Data Across data types Across disciplines Benefits

18. Recommending Data Collaborative filtering Multi-disciplinary team suggestions Slide acknowledgment: Wikimedia Commons http://psychosocial.actalliance.org/default.aspx?di=65446&ptid=66401 Benefits

19. Thank You Jonathan_Crabtree@unc.edu http://www.odum.unc.edu http://databridge.web.unc.edu