Editing Reproducibility (section)

==Knowledge management==
* The complexity of modern numerical experiments makes it necessary for the author himself to keep track meticulously of what he has done: "In the mid 1980's, we noticed that a few months after completing a project, the researchers at our laboratory were usually unable to reproduce their own computational work without considerable agony." [1]
"It takes some effort to organize your research to be reproducible. We found that although the effort seems to be directed to helping other people stand thisup on your shoulders, the principal beneficiary is generally the author herself. This is because time turns each one of us into another person, and by making effort to communicate with strangers, we help ourselves to communicate with our future selves." [2]
* Collaboration with other researchers, bringing a new employee/student up to speed or continuing to build on the work of a former team member: "Research cooperation can happen effortlessly if you use a uniform system for filing your research." [2]
* Speeding up the progress of science, and helping readers: "In a traditional article the author merely outlines the relevant computations: the limitations of a paper medium prohibit a complete documentation including experimental data, parameter values, and the author's programs. Consequently, the reader has painfully to re-implement the author's work before verifying and utilizing it. Even if the reader receives the author's source files (a feasible assumption considering the recent progress in electronic publishing), the results can be recomputed only if the various programs are invoked exactly as in the original publication. The reader must spend valuable time merely rediscovering minutiae, which the author was unable to communicate conveniently." [1]
* A reproducible experiment is the ultimate level of documentation. Code that works shows what actually happened in the experiment, regardless of the quality of theoretical explanations elsewhere
* A reproducible experiment is the first step towards an industrial implementation