Matthieu Boisgontier
@matthieuboisgontier.com
Associate Professor at @uOttawa.ca, Faculty of Health Sciences. all comments are my own. Contributing to @pci-hms.bsky.social & @cik.bsky.social. #OpenScience #Kin #PT 🇨🇦 www.linkedin.com/in/matthieuboisgontier
Reposted by Matthieu Boisgontier
A better approach is to build the capacity of presses in libraries, UPs, scholar-led pubs, overlays, etc. This will take money but will allow a better kind of publishing to flourish in places that need it, so you'll change the argument from being about cost-saving towards a more ethical ecosystem.
November 15, 2025 at 1:41 PM
A better approach is to build the capacity of presses in libraries, UPs, scholar-led pubs, overlays, etc. This will take money but will allow a better kind of publishing to flourish in places that need it, so you'll change the argument from being about cost-saving towards a more ethical ecosystem.
Reposted by Matthieu Boisgontier
i agree. Problem is that peer review is not geared up for detection of fabricated data. Sadly I think we need to be more alert to this. Inclusion of raw data v helpful in this case - and the discrepancies in age hit you as soon as you open the file. But deposited data should be .csv! @bmj.com
November 3, 2025 at 7:44 AM
i agree. Problem is that peer review is not geared up for detection of fabricated data. Sadly I think we need to be more alert to this. Inclusion of raw data v helpful in this case - and the discrepancies in age hit you as soon as you open the file. But deposited data should be .csv! @bmj.com
Est-ce que ça sera proposé en ligne également ?
November 4, 2025 at 2:35 AM
Est-ce que ça sera proposé en ligne également ?
Reposted by Matthieu Boisgontier
The first paper ('the DAG review') was an epic meta-scientific review of 200+ papers. Started in 2017 and finally accepted in 2020, the paper was conceived as a way to develop recommendations on the design and reporting of DAGs.
academic.oup.com/ije/article/...
academic.oup.com/ije/article/...
Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations
AbstractBackground. Directed acyclic graphs (DAGs) are an increasingly popular approach for identifying confounding variables that require conditioning whe
academic.oup.com
November 3, 2025 at 4:34 PM
The first paper ('the DAG review') was an epic meta-scientific review of 200+ papers. Started in 2017 and finally accepted in 2020, the paper was conceived as a way to develop recommendations on the design and reporting of DAGs.
academic.oup.com/ije/article/...
academic.oup.com/ije/article/...
"As for the question of whether they had ever made changes to their manuscript that they thought were incorrect, 22% said that this had happened to them." www.tandfonline.com/doi/full/10....
October 26, 2025 at 9:22 PM
"As for the question of whether they had ever made changes to their manuscript that they thought were incorrect, 22% said that this had happened to them." www.tandfonline.com/doi/full/10....
"What relation this have to the fact that 25% of authors were asked to revise their manuscript by making changes they believed to be incorrect is an interesting speculation."
October 26, 2025 at 9:19 PM
"What relation this have to the fact that 25% of authors were asked to revise their manuscript by making changes they believed to be incorrect is an interesting speculation."