ONLINE CLASS: Why are Reproducibility and Data Sharing Important in Biomedicine?
PRESENTER: Keith Baggerly, Professor, Bioinformatics & Comp Biology
Modern high-throughput biological assays let us ask detailed questions about how diseases operate, and promise to let us personalize therapy. Careful data processing is essential, because our intuition about what the answers “should” look like is very poor when we have to juggle thousands of things at once. When documentation of such processing is absent, or some data are missing, we must apply “forensic bioinformatics” to work from what data we have and the reported results to infer what the methods must have been. We will present several case studies where simple errors may have put patients at risk. This work has been covered in both the scientific and lay press, prompted several journals to revisit the types of information that must accompany publications, and led to an Institute of Medicine (IOM) review of the type of data that must be supplied before “omics”-based tests are used to guide patient care. We discuss steps we take to avoid such errors, other lessons that can be applied to large data sets, and issues associated with data sharing.
REGISTER TO ATTEND
Watch this webinar live from your own computer. Click on this link at class time and enter as a guest: http://mdandersonlib.adobeconnect.com/reproducibility/
Date: 2/21/17, 12pm to 1pm
Time: 2/21/17, 12pm to 1pm
Location: From Your Desktop
Contact: Laurissa Gann - (713) 794-1111 - email@example.com
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