computation

Member Training: A Data Analyst’s Guide to Methods and Tools for Reproducible Research

November 1st, 2017 by

Have you ever experienced befuddlement when you dust off a data analysis that you ran six months ago? 

Ever gritted your teeth when your collaborator invalidates all your hard work by telling you that the data set you were working on had “a few minor changes”?

Or panicked when someone running a big meta-analysis asks you to share your data?

If any of these experiences rings true to you, then you need to adopt the philosophy of reproducible research.

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