Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web
Connotea: stevehit's bookmarks matching tag oa.new 2012-11-20
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.