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Abstract:
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DataFests are data analysis immersion experiences in which teams investigate large, usually messy, data sets to shed new insights on a problem posed by organizers. DataFests are growing in popularity, and have been hosted by a number of local, regional and national organizations, including ASA. There are a number of online blogs with advice about how to organize data fests, many focusing on e-tools to facilitate the process. In this roundtable, we will share ideas and experiences for hosting a DataFest for health sciences undergraduate and graduate students. We will discuss tapping into accessible sources of data, determining which statistical concepts to emphasize (if any), approval processes, and any other important organizational details. Discussants with experience hosting these types of events are encouraged to share lessons learned, and those considering similar events can share their plans. The organizer will share ideas for hosting an event based on a wearable device dataset. A DataFest involving students from multiple institutions would be a welcome outcome of this discussion.
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