Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web

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Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web
Tal Yarkoni
Frontiers in Computational Neuroscience, (01 Oct 2012)
Extract: I focus particular attention on three core elements that next-generation evaluation platforms should strive to emphasize, including (1) open and transparent access to accumulated evaluation data, (2) personalized and highly customizable performance metrics, and (3) appropriate short-term incentivization of the userbase. Because all of these elements have already been successfully implemented on a large scale in hundreds of existing social web applications, I argue that development of new scientific evaluation platforms should proceed largely by adapting existing techniques rather than engineering entirely new evaluation mechanisms.
Posted by stevehit to pep.biblio oa.new on Mon Nov 19 2012 at 18:18 UTC | info | related