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

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Presentation transcript:

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

Motivation

How do we cope? Metadata creation Data discovery Data organization

Data Similarity What can we learn by comparing? mums.html

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 Benefits

Thank You