Olmo van den Akker

@denolmo.bsky.social

Postdoc @ QUEST Center for Responsible Research & Tilburg University. Doing meta-research aimed at improving preregistration, secondary data analysis, and peer review.

Big news at the META/e conference: metacheck, a promising tool for automatically extracting information from scientific manuscripts is beta-launched today. Has the potential to massively increase the efficiency of meta-science projects. www.scienceverse.org/metacheck/

Check Research Outputs for Best Practices

A modular, extendable system for checking research outputs for best practices using text search, R code, and/or (optional) LLM queries.

scienceverse.org

Lisa DeBruine@debruine.bsky.social · 2mo ago

@crist14n.bsky.social presented some of the capabilities of metacheck, which has its first beta release today! See an example report that demonstrates all of the current modules. www.scienceverse.org/metacheck/re...

📢 New from PYMS! We're launching online lunch meetings. A chance to present your work to other metascience ECRs Share your work in any form: finished projects, preliminary results, a trial-run conference presentation, or ideas you'd love feedback on Want to present? Sign up using the form!

PYMS - Lunch Presentations

Between 20 and 24 April, PYMS will be hosting a series of online lunch meetings. During these sessions, you can present one of your completed research projects, an ongoing study, or early‑stage ideas ...

forms.gle

Now available on the OSF as part of a growing collection of preregistration resources, the new EEG & ERP Methods template guides researchers through every stage of ERP study planning. In our Q&A, two of its creators share how the template can help researchers at all stages:

Introducing the EEG and ERP Methods Template: Q&A with Gisela Govaart and Antonio Schettino

Interview with Gisela Govaart and Antonio Schettino, developers of the new ERP preregistration template on the Open Science Framework (OSF).

cos.io

“If fabricated studies make their way into the evidence base, they can mislead real scientists and ultimately slow progress for patients." Published in The BMJ, a new AI tool developed by @aidybarnett.bsky.social and colleagues has exposed the scale of fake studies flooding cancer research.

New tool exposes scale of fake research flooding cancer science

A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called “paper mills”.

qut.edu.au

We are about a month away from releasing a complete refresh of the OSF user interface. The team has been working on this for a very long time, and we are very excited to be able to share it soon. A preview picture:

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eLife (talk by Nicola Adamson) uses a publish-review-curate method and uses common terms to assess manuscripts. For strength of evidence: exceptional, compelling, convincing, solid, incomplete, & inadequate For significance of findings: landmark, fundamental, important, valuable, & useful #PRC10

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New peer review dataset incoming! Involves authors, topic area, editorial decision, author characteristics (institutional prestige, region, gender), BoRE evaluations, review characteristics (length, sentiment, z-score, reviewer gender). (Talk by Aaron Clauset) #PRC10

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Christos Kotanidis checked differences in abstracts between submissions and published papers & assessed whether these differences indicated higher or lower research quality. Abstracts typically improved, especially in big five medical journals. Evidence for the effectiveness of peer review? #PRC10

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Interesting to see that the conference review process (and publishing norms) are do different in the field of computer science compared to other fields. How do these differences come about? Fundamental differences between fields or chance and inertia? #PRC10

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Ian Bulovic used OpenAI's GPT to assess selective outcome reporting. Findings: - Much outcome switching but decrease over time - Industry-sponsored trials most at risk - Assessing outcome switching may seem trivial but is even hard for human coders #PRC10

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