
48: Breaking up with the impact factor (with Jason Hoyt)
Explicit content warning
07/21/17 • 53 min
Dan and James are joined by Jason Hoyt, who is the CEO and co-founder of PeerJ, an open access journal for the biological and medical sciences.
Here's some of what they cover:
- PeerJ’s model and how it got started
- What goes into running a journal
- Impact factors vs. low-cost publishing
- When the journal user experience is too good
- Getting a quick reviewer turnaround
- The need scientists to change their practices (not publishers)
- PeerJ’s membership model
- Glamour journals
- Future plans for PeerJ
- Predatory journals
- Researchers don’t want cheap journals, only impact factors
Links
- PeerJ: https://peerj.com
- The Phoenix project: https://www.amazon.com/Phoenix-Project-DevOps-Helping-Business-ebook/dp/B00AZRBLHO
- The Goal: https://www.amazon.com/Goal-Process-Ongoing-Improvement-ebook/dp/B002LHRM2O/ref=pd_sim_351_2?_encoding=UTF8&psc=1&refRID=EMTE1M9W2XW5Q24X4GE8
Music credits: Lee Rosevere freemusicarchive.org/music/Lee_Rosevere/
Special Guest: Jason Hoyt.
Dan and James are joined by Jason Hoyt, who is the CEO and co-founder of PeerJ, an open access journal for the biological and medical sciences.
Here's some of what they cover:
- PeerJ’s model and how it got started
- What goes into running a journal
- Impact factors vs. low-cost publishing
- When the journal user experience is too good
- Getting a quick reviewer turnaround
- The need scientists to change their practices (not publishers)
- PeerJ’s membership model
- Glamour journals
- Future plans for PeerJ
- Predatory journals
- Researchers don’t want cheap journals, only impact factors
Links
- PeerJ: https://peerj.com
- The Phoenix project: https://www.amazon.com/Phoenix-Project-DevOps-Helping-Business-ebook/dp/B00AZRBLHO
- The Goal: https://www.amazon.com/Goal-Process-Ongoing-Improvement-ebook/dp/B002LHRM2O/ref=pd_sim_351_2?_encoding=UTF8&psc=1&refRID=EMTE1M9W2XW5Q24X4GE8
Music credits: Lee Rosevere freemusicarchive.org/music/Lee_Rosevere/
Special Guest: Jason Hoyt.
Previous Episode

47: Truth bombs from a methodological freedom fighter (with Anne Scheel)
In this episode, Dan and James are joined by Anne Scheel (LMU Munich) to discuss open science advocacy.
Highlights:
- How Anne became an open science advocate
- Open science is better science
- Methodological terrorists/freedom fighters
- The time Anne stood up after a conference keynote and asked a question
- Asking poor PhD students to pay for conference costs upfront and then reimbursing them 6 months later
- Is it worth if for early career researchers to push open science practices?
- How to begin with implementing open science practices
- Power analysis should be normal practice, it shouldn’t be controversial
- Anne’s going to start a podcast
- The 100%CI: A long copy blog with 4 writers
- The benefits of preprints and blogging
- Science communication in English for non-native English speakers
- Doing stuff that interests you vs. stuff that’s meant to advance your career
Twitter accounts of people/things we mentioned:
@dalejbarr - 2:10
@siminevazire - 2:45
@lakens - 2:45
@nicebread303 (Felix Schönbrodt)- 3:50
@annaveer - 21:40
@methodpodcast - 29:20
@the100ci - 30:40
@realscientists - 31:40
@upulie - 31:55
@fMRI_guy (Jens Foell) - 32:20
@realsci_DE (Real scientists Germany) - 32:30
@maltoesermalte, @_r_c_a, @dingding_peng (100% CI team) - 33:55
@stuartJRitchie - 65:05
Links
- Early Career Researchers and publishing practices: http://onlinelibrary.wiley.com/doi/10.1002/leap.1102/full (paywalled)
- Pre-registration in social psychology—A discussion and suggested template” Paywalled link: http://www.sciencedirect.com/science/article/pii/S0022103116301925, Preprint link: https://osf.io/preprints/psyarxiv/4frms/
- The CI 100%: http://www.the100.ci
Music credits: Lee Rosevere freemusicarchive.org/music/Lee_Rosevere/
Special Guest: Anne Scheel.
Next Episode

49: War and p's
In this episode Dan and James discuss a forthcoming paper that's causing a bit of a stir by proposing that biobehavioral scientists should use a 0.005 p-value statistical significance threshold instead of 0.05.
Stuff they cover:
- A summary of the paper and how they decided on 0.005.
- Whether raising the threshold the best way to improve reproducibility?
- Is 0.005 too stringent?
- Would this new threshold unfairly favour “super” labs?
- If we keep shifting the number does any threshold really matter?
- Dan and James’ first impressions of the paper
- A crash course on Mediterranean taxation systems
- What would a 0.005 threshold practically mean for researchers?
Links
The paper https://osf.io/mky9j/
ENIGMA consortium http://enigma.ini.usc.edu
Music credits: Lee Rosevere freemusicarchive.org/music/Lee_Rosevere/
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