Event Details
Event Title Identifying and Correcting Errors in Big Data (Online)
Location Online (ZOOM)
Sponsor H.W. Odum Institute
Date/Time 09/24/2021 9:00 AM - 1:00 PM
Cutoff Date 09/21/2021 Must register before this date
For more information, contact the event administrator: Jill Stevens jill_stevens@unc.edu
Event Presenters
Name Title  
Ashley Amaya PhD Senior Survey Methodologist at the Pew Research Center.
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This course will be offered via Zoom only. However, this course will not be recorded.

While Big Data offers a potentially less expensive, less burdensome, and more timely alternative to survey data for producing a variety of statistics, it is not without error. But, the construction of, access to, and overall data structure of Big Data make it difficult to know where to start looking for errors and even more difficult to account or correct for them. In this course, we will walk through the Total Error Framework, an extension of the Total Survey Error framework, which can be applied to all types of Big Data and can serve as a template for researchers to investigate error in Big Data. We will walk through several examples of error and map it onto the framework and provide exercises for participants to come up with their own examples. Finally, we will walk through some best practices in determining whether the use of Big Data is a ‘good’ choice for various research objectives, how to correct or avoid errors in Big Data, and documenting the strengths and weaknesses of your Big Data source.

Registration Fees:

This is part of the RTI/Odum series of short courses. There are no registration fees associated with this course, but registration is required to secure your spot. At this time registration is limited to persons affiliated with a university in the Triangle region (Chapel Hill, Durham, Raleigh) of North Carolina or with RTI International. You must register under a university email address from the Triangle area (Chapel Hill, Durham, Raleigh) or an RTI email address in order to receive zoom information to access the course. All other registrations will be deleted/invalidated. If there are still open seats available, then registration will be opened to those outside of the RTP university/RTI International parameters.