Reproducibility and Open Science
Reproducibility has been a hot topic over the last few years, as high profile meta-research projects have uncovered low rates of reproducible results across a number of scientific disciplines. This talk will focus on practical tips for improving the reproducibility of scientific workflows, and the importance of data preservation and data sharing. It will feature demonstrations of the Open Science Framework (osf.io), a free, open source platform, developed by the Center for Open Science, for collaborating, managing and sharing research.
Thursday 13 Oct, 2016, 2-3pm
BioSciences 1, G26-27
No RSVP necessary