Open science provides fraud deterrence, and facilitates fraud detection.
When I first learned about open science around 20 years ago (then called "open notebook science"), I never thought about research fraud. Now it is a critically-important issue.
Open science practices provide part of the records needed for data provenance or chain-of-custody trail. Here's one of my posts from earlier this year about fraud deterrence: alexholcombe.wordpress.com/202… .
So in my view, open science policy updates need to consider fraud deterrence. Disappointed to see no consideration of the issue in the TOP guidelines update. journals.sagepub.com/doi/10.11…
Scientists can’t even prove their data are real
I gave a workshop on preregistration to honours students last Friday and mentioned that preregistration provides evidence that you created your hypothesis in advance of seeing the data. The student…Alex Holcombe's blog

Albert Cardona
in reply to Alex Holcombe • • •Part of the issue are the incentives. Science has to stop evaluating scientists by the number of publications. Never was a good idea and now even less.
#academia
〽️ɪɢᴜᴇʟ
in reply to Albert Cardona • • •ArneBab
in reply to 〽️ɪɢᴜᴇʟ • • •You are asking "what else should we evaluate (people who spent a decade learning their craft) by?"
There is only a single method that actually works:
Trust other scientists in the same field (only they can actually understand the research) and punish proven fraud by expulsion.
Competition for jobs doesn’t work in science.
Giving publications a secondary objective ("get a job") ruins them for their prime objective (communicate).
⇒ draketo.de/english/science/qua…
@albertcardona @alexh
counting scientific publications as metric for scientific quality is dumb | Zwillingssterns Weltenwald | 1w6
www.draketo.deAlbert Cardona
in reply to ArneBab • • •@ArneBab @bitbraindev
Indeed – publishing's purpose is to communicate their progress in scientific research. Nothing else, nothing more.
On the measure and evaluation of science, I continue to think Ross Cagan's vision is best:
mathstodon.xyz/@albertcardona/…
Albert Cardona (@albertcardona@mathstodon.xyz)
Albert Cardona (Mathstodon)