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DataBridge: Building an E-science Collaboration Environment Tool for Linking Diverse Datasets into a Socio-metric Network

Presenter 1
Jonathan Crabtree
Odum Institute UNC Chapel Hill

There are currently thousands of scientists creating millions of data sets describing an increasingly diverse matrix of social and physical phenomena. This rapid increase in both amount and diversity of data implies a corresponding increase in the potential of data to empower important new collaborative research initiatives. However, the sheer volume and diversity of data presents a new set of challenges in locating all of the data relevant to a particular line of research. Taking full advantage of the unique data managed by the "long-tail of science" requires new tools specifically created to assist scientists in their search for relevant data sets. DataBridge is an e-science collaboration environment designed specifically for the exploration of a rich set of socio-metric tools and the corresponding space of relevance algorithms, and their adaptation to define semantic bridges that link large numbers of diverse datasets into a socio-metric network. Data from large NSF funded projects will be analyzed to develop relevance-based data discovery methods. This paper will discuss the design of DataBridge and the Socio-metric network analysis algorithms that will be used to explore the space of relevancy by metadata and ontology, by pattern analysis and feature extraction, and via human connections.

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