For the last few days, I've been in Düsseldorf for the Berlin 6 Open Access conference, where I organized a session on "Open Data and Reproducible Research". Here's the abstract:
In many scientific and technical fields, research is increasingly based on published data. Researchers also often publish detailed instructions or even executable recipes for reproducing their results. Combined with inexpensive networked computing and mass storage, these trends can radically accelerate the pace of research, by lowering barriers to entry and decreasing the time required to reproduce and extend innovations. These changes may also modify the balance between data collection and data analysis, and between experimental and theoretical work.
Nevertheless, these potentially revolutionary developments are mostly happening below the surface, with uneven progress across disciplines, and little general discussion of how to guide or react to the process. The goal of this panel is to publicize the experience of several communities who have up to two decades of experience with what Jon Claerbout has termed "reproducible research", and to begin a general discussion of the broader implications for scientific, technical and scholarly publication.
The session is described on p. 8 of the program, but since two of the participants were taking part remotely (Segey Fomel from Las Vegas, and Jelena Kovacevic from Pittsburgh), I prepared a web page with everyone's presentations linked in. At some point the slides and videos of the presentations will be put up on the web by Cornelius Puschmann and the other conference organizers; but if the ideas involved interest you, you might want to take a look at the material linked to the page that I set up.