In the first post in this series I identified a series of challenges in scholarly publishing while stepping through some of the processes that publishers undertake in the management of articles. A particular theme was the challenge of managing a heterogenous stream of articles and their associated heterogeneous formats and problems, in particular at a large scale.

If we imagine what the specification for building a scholarly communications system would look like there are some fairly obvious things we would want it to enable. Registration of priority, archival, re-use and replication, and filtering.

Image by Gideon Burton via Flickr It hasn’t been a real good week for peer review.

A session entitled “The Future of the Paper” at Science Online London 2009 was a panel made up of an interesting set of people, Lee-Ann Coleman from the British Library, Katharine Barnes the editor of Nature Protocols, Theo Bloom from PLoS and Enrico Balli of SISSA Medialab. The panelists rehearsed many of the issues and problems that have been discussed before and I won’t re-hash here.

There are a set of memes that seem to be popping up with increasing regularity in the last few weeks. The first is that more of the outputs of scientific research need to be published. Sometimes this means the publication of negative results, other times it might mean that a community doesn’t feel they have an outlet for their particular research field. The traditional response to this is “we need a journal” for this.

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.

A story of two major retractions from a well known research group has been getting a lot of play over the last few days with a News Feature (1) and Editorial (2) in the 15 May edition of Nature. The story turns on claim that Homme Hellinga’s group was able to convert the E. coli ribose binding protein into a Triose phosphate isomerase (TIM) using a computational design strategy.