Podcast: Everything Hertz
Episode: 90: Mo data mo problems
Episode pub date: 2019-08-19
Episode: 90: Mo data mo problems
Episode pub date: 2019-08-19
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/)
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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
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