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#radioactive commentary, w/ apologies to all admirable people of #BrainSTOA working hard on #DataSharing. This highlights a need to broaden #sharing to #computations & #insights. Premises were clear in Ngai’s “data resource development”, Bjaalie’s “modeling workflow” #Teamscience 
Data sharing is good. Too much data creation, objectionable. Overreliance of data might be used to obfuscate gaps in theory, analysis and interpretation. Data is also a currency for misused scientific power. #InclusiveScience
At this point, we should also focus on sharing #ComputationalTools (and explaining them, and building expertise in using them). #ComputationalNeuroscience.
We should enhance collective vetting of our interpretations of their meaning.
We should enhance collective vetting of our interpretations of their meaning.
Daily Bookmarks to GAVNet 09/20/2020 greeneracresvaluenetwork.wordpress.com/2020/09/20/dai…
