Reproducible Research, a manifest-like paper by a number of authors from different scientific disciplines, is published by Computing in Science and Engineering.

Progress in computational science is often hampered by researchers’ inability to independently reproduce or verify published results. Attendees at a roundtable at Yale Law School formulated a set of steps that scientists, funding agencies, and journals might take to improve the situation. We describe those steps here, along with a proposal for best practices using currently available options and some long-term goals for the development of new tools and standards.