90: Mo data mo problems episode artwork

EPISODE · Aug 19, 2019 · 58 MIN

90: Mo data mo problems

from Everything Hertz · host 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 for the question Will people steal your ideas? The journal Scientific Data Are we now incentivising data mining rather than data collecting? Synthetic data Dan’s recent synthetic data preprint primer 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 for the question, listen to our episode with him on e-health! Did all the people who co-authored the paper to change statistical significance the default p-value threshold to .005 actually do this in subsequent papers? Vagus nerve brain washing paper 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/) Support us on Patreon and get bonus stuff! $1 a month or more: Monthly newsletter + Access to behind-the-scenes photos & video via the Patreon app + the the warm feeling you're supporting the show $5 a month or more: All the stuff you get in the $1 tier PLUS a bonus mini episode every month (extras + the bits we couldn't include in our regular episodes) Episode citation and permanent link Quintana, D.S., Heathers, J.A.J. (Hosts). (2019, August 19) "Mo data mo problems", Everything Hertz [Audio podcast], doi: 10.17605/OSF.IO/TQ75J

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 for the question Will people steal your ideas? The journal Scientific Data Are we now incentivising data mining rather than data collecting? Synthetic data Dan’s recent synthetic data preprint primer 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 for the question, listen to our episode with him on e-health! Did all the people who co-authored the paper to change statistical significance the default p-value threshold to .005 actually do this in subsequent papers? Vagus nerve brain washing paper 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/) Support us on Patreon and get bonus stuff! $1 a month or more: Monthly newsletter + Access to behind-the-scenes photos & video via the Patreon app + the the warm feeling you're supporting the show $5 a month or more: All the stuff you get in the $1 tier PLUS a bonus mini episode every month (extras + the bits we couldn't include in our regular episodes) Episode citation and permanent link Quintana, D.S., Heathers, J.A.J. (Hosts). (2019, August 19) "Mo data mo problems", Everything Hertz [Audio podcast], doi: 10.17605/OSF.IO/TQ75JSupport Everything Hertz

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90: Mo data mo problems

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This episode was published on August 19, 2019.

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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...

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