90: Mo data mo problems - a podcast by Dan Quintana

Dan and James discuss two listener questions on performing secondary data analysis and the potential for prestige to creep into open science reforms.
More info and links:Why generate your own dataset when you can get a high impact paper using public data?
Thanks to Stu Murray (https://twitter.com/DrStuartBMurray) for the questionWill people steal your ideas?
The journal Scientific Data (https://www.nature.com/sdata/)Are we now incentivising data mining rather than data collecting?
Synthetic dataDan’s recent synthetic data preprint primer (https://psyarxiv.com/dmfb3/)
Ego and prestige got us into the mess we’re trying to fix with open science, but how can we stop this from happening again?Thanks to Robin Kok (https://twitter.com/robinnkok) for the question, listen to our episode with him on e-health (https://everythinghertz.com/34)!
Did all the people who co-authored the paper to change statistical significance the default p-value threshold to .005 (https://www.nature.com/articles/s41562-017-0189-z) actually do this in subsequent papers?Vagus nerve brain washing paper (https://www.biorxiv.org/content/biorxiv/early/2019/08/13/733410.full.pdf)
Other links- Dan on twitter (www.twitter.com/dsquintana)
- James on twitter (www.twitter.com/jamesheathers)- Everything Hertz on twitter (www.twitter.com/hertzpodcast)
- Everything Hertz on Facebook (www.facebook.com/everythinghertzpodcast/)Music credits: Lee Rosevere (freemusicarchive.org/music/Lee_Rosevere/)
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Episode citation and permanent linkQuintana, D.S., Heathers, J.A.J. (Hosts). (2019, August 19) "Mo data mo problems", Everything Hertz [Audio podcast], doi: 10.17605/OSF.IO/TQ75J (https://osf.io/tq75j/)

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