DC: Medium: Collaborative Research: Data Intensive Computing: Scalable, Social Data Analysis

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Analysts in all areas of human knowledge, from science and engineeringto economics, social science and journalism are drowning in data. Theproliferation of digital information requires tools and techniques forexploring, analyzing and communicating data in a manner that scales asboth the data and the organizations analyzing it grow insize. Throughout the data life-cycle, sensemaking is often acollaborative process. As different analysts each contribute to dataacquisition, cleaning, analysis, and interpretation they contributecontextual knowledge that deepens understanding. Analysts may disagreeon how to interpret data, but then work together to reachconsensus. Many data sets are so large that thorough exploration by asingle person is unlikely. In short, social cognition plays a criticalrole in the process of scalable data analysis. New analysis tools thataddress human cognitive characteristics, social interaction and dataanalytics in an integrated fashion can improve our ability to turndata into knowledge.Scalable data analysis requires social interaction and thereforesocial context must be embedded in data analysis tools. The goals ofthis project are (1) to understand how social interaction and socialcontext can facilitate successful data analysis, (2) to develop modelsand tools for representing and annotating data transformations,visualizations, and social activity (e.g., textual and graphicalannotations, discussions, links, tags), and (3) to design and testvisual interfaces that leverage our tools to support collaborativeanalysis practices, including data entry, transformation,visualization, and interpretation. Central concerns include (a) afocus on enabling social interaction throughout the data life-cycleand (b) the use of scalable data transformation routines that canreturn results in a time frame concordant with interactive,exploratory data transformation and analysis.Further information on this project can be found at: http://vis.berkeley.edu/projects/scalable_social_data_analysis/