Re****bility

Since we often forget what reproducibility means, particularly in the context of repeatability and replicability, I think it is worth highlighting this slide, taken from a talk by Neil Chue Hong, “Open Software for Open Science,” Young Alliance Against Cancer, 22-23 May 2015, Copenhagen, http://dx.doi.org/10.6084/m9.figshare.1424440

reproducibility

Note

Since the Reproducible Scientific Computing blog created and curated by Doug Thain has become inactive, this is a repost from there.

Disclaimer

Some work by the author was supported by the National Science Foundation (NSF) while working at the Foundation; any opinion, finding, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the NSF.

Advertisements

Published by:

danielskatz

Assistant Director for Scientific Software and Applications at NCSA, Research Associate Professor in CS, ECE, and the iSchool at the University of Illinois Urbana-Champaign; works on systems and tools (aka cyberinfrastructure) and policy related to computational and data-enabled research, primarily in science and engineering

Tags , Leave a comment

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s