Friday, October 5, 2012
Next-gen platforms for evaluating scientific output
Tal Yarkoni has a paper out in Frontiers in Neuroscience, "Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web." As someone who has recently taken the plunge into 'pre-publication' submissions, I shall be interested to hear others' opinions on the manifold issues surrounding online publication, peer review, post-publication review, etc.
To be honest I'm a little surprised someone down in the South Bay (that's Silicon Valley to you non-Bay Area locals) hasn't already created a startup company offering us software to do this stuff. Surely there's money to be made. Until then, I for one have moved in toto to faster online models, whether it's this blog for my local user support (which just happens to take precisely the same amount of work whether fifty or fifty million people read it) or arXiv.org for papers. I'm adopting the Nike model: Just do it. But I realize it's a lot more complicated and nuanced than one rebellious Limey who already has a secure job. If we all went off piste there'd be chaos. So, how do we get from Tal's circumspect arguments to a workable platform?