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Wednesday, August 10 • 3:00pm - 4:00pm
Research Data Reproductibility

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The rapid growth and availability of large sets of structured and unstructured data (“big data”) has created significant opportunities to discover patterns, trends, and interactions that are applicable to many research fields. A significant amount of research accessing big data is focused on human health and behavior. A number of initial reports arising from collection and query of big data were challenged by data error.  Traditionally, data error arises from a lack of suitable manpower, planning, materials, documentation collection and archiving practices, and equipment. Data error results in a lack of repeatability and reproducibility, which can have dire consequences both for the research team, and, when occurring in human research studies, potentially licensed products which don’t maintain their claims once used by the general public. Reproducibility issues are magnified when big data is used due to additional challenges pertaining to its collection, management, storage and appropriate archiving. This talk will focus both on practical and ethical issues of reproducibility for any research project, as well as topics specific to studies collecting and utilizing big data, using both historical and contemporary content. A brief discussion of regulations addressing data reproducibility will be included in the discussion. 


Wednesday August 10, 2016 3:00pm - 4:00pm PDT
LSC 386