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 (, 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


Natalie Meyers headshot

Natalie Meyers, M.L.I.S (University of California, Berkeley) is a Partnerships and Collaborations manager at the Center for Open Science (, in Virginia, US, which is a not-for-profit organization devoted to increasing scientific openness, integrity, and the reproducibility of scientific research. Natalie is also the E-Research librarian at the University of Notre Dame's Digital Initiatives and Scholarship unit in the Hesburgh Libraries.  

Ian Taylor headshot

Ian Taylor is a Reader in Computer Science and Informatics at Cardiff University. He has published widely in the area of reproducible workflows, and will demonstrate some unique applications of the Center for Open Science’s Open Science Framework (