Open Source Keeping Computer Analysis Transparent

Ars Technica discusses the question of making not just the results but also the methodology available in Keeping Computers From Ending Sciences Reproducability

In recent years, scientists may have inadvertently given up on a key component of the scientific method: reproducibility. That’s an argument that’s being advanced by a number of people who have been tracking our increasing reliance on computational methods in all areas of science. An apparently simple computerized analysis may now involve a complex pipeline of software tools; reproducing it will require version control for both software and data, along with careful documentation of the precise parameters used at every step. Some researchers are now getting concerned that their peers simply aren’t up to the challenge, and we need to start providing the legal and software tools to make it easier for them.

The article goes on to illustrate the benefits of open source software used as the basis of research – which is where this question really relates to our own plans for Open Source Bayesian Articial Neural Network software,

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