I just stumbled upon this one: Neil Lawrence’s page on reproducible research. Nice page, see also the large number of reproducible publications on his publications page. I think machine learning’s got another nice reference set of reproducible publications!
It’s interesting to see how Jon Claerbout’s work inspired a large number of people all around the globe.
I just got a pointer to ResearchAssistant, a Java tool to keep better track of research experiments. It stores the exact circumstances under which experiments are performed, with parameter values etc. Looks like a very nice tool for reproducible research. At least, it should make it very easy when writing a paper to trace back how certain results were obtained. If you’re doing research in Java, I’d certainly recommend taking a look at RA!
The tool is also described in the following paper:
D. Ramage and A. J. Oliner, RA: ResearchAssistant for the Computational Sciences, Workshop on Experimental Computer Science (ExpCS), June 2007.