How to Make Science More Reliable: Tips for Managing Data

Science and Research Show

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Nearly anyone who has worked in research is familiar with the frustrating scenario: a postdoc leaves for another job, and with him goes all sorts of valuable knowledge. It’s become loud and clear that results from many published scientific studies are unreliable. While ethical violations like fraud clearly contribute to the problem, so does a seemingly more benign and much more common issue, poor data management. Darell Schmick, research librarian at the Eccles Health Sciences Library at the University of Utah, describes scenarios that could happen as a result of poor data management, and ways to overcome them. Learn more at the upcoming Research Reproducibility Conference.

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