There has been a lot of recent discussion about the relative importance of Open Source and Open Data (Friendfeed, Egon Willighagen, Ian Davis). I don’t fancy recapitulating the whole argument but following a discussion on Twitter with Glyn Moody this morning [1, 2, 3, 4, 5, 6, 7, 8] I think there is a way of looking at this with a slightly different perspective. But first a short digression.

On Monday 1 September we had a one day workshop in Southampton discussing the issues that surround ‘Open Science’. This was very free form and informal and I had the explicit aim of getting a range of people with different perspectives into the room to discuss a wide range of issues, including tool development, the social and career structure issues, as well as ideas about standards and finally, what concrete actions could actually be taken.

For the Open Science workshop at the Pacific Symposium on Biocomputing I wrote a very long essay as an introductory paper. It turned out that this was far too long for the space available so an extremely shortened version was submitted for the symposium proceedings. I thought I would post the full length essay in installments here as a prelude to cleaning it up and submitting to an appropriate journal.

I hold no particular candle for traditional peer review. I think it is inefficient, poorly selective, self reinforcing, often poorly done, and above all, far too slow. However I also agree that it is the least worst system we have available to us.  Thus far, no other approaches have worked terribly well, at least in the communication of science research.