ReproducibiliTea
@reproducibilitea.org
2.1K followers 320 following 510 posts
Serving Reproducibili☕️ at 100+ locations: Blends include transparency, openess and robustness + spoonfuls of science. Find out more on our website: https://reproducibilitea.org/ Check out our podcast: https://soundcloud.com/reproducibilitea
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drcpennington.bsky.social
Do you have an interest in social cognition and skills in neuroscience? Come and do a fully-funded(!) PhD with Dr Daniel Shaw, Dr Enrico Amico, and me! 🧠 📚

"Social brain fingerprints: using network science to extract neural correlates of interpersonal (dys)function"

Apply here: lnkd.in/eNRZxbf5
reproducibilitea.org
You can still register for our webinar tomorrow: forms.gle/1R4Y3d33W8bQ...
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matti.vuorre.com
Against Publishing: universonline.nl/nieuws/2025/...

Preprints are read, shared, and cited, yet still dismissed as incomplete until blessed by a publisher. I argue that the true measure of scholarship lies in open exchange, not in the industry’s gatekeeping of what counts as published.
reproducibilitea.org
📣 “Peer Review and its Diversification” Webinars 📣

👉 Register for the Zoom link: forms.gle/1R4Y3d33W8bQ...

#PeerReview #metasci #academicsky
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reproducibiliteaum.bsky.social
Hola de nuevo! Nuestro ya querido ReproducibiliTea está de vuelta un curso más 🤗. Para retomar el ritmo, este mes abordaremos un artículo en forma de comentario sobre la cuestión de si merece la pena coordinarnos mejor en ciencia 🤝. Os esperamos el próximo 27 de octubre a las 16h.
reproducibilitea.org
🔵 Melbourne - Topic: From 2015 to 2023, eight years of empirical research on research integrity: a scoping review researchintegrityjournal.biomedcentral.com/articles/10....
Thursday, 30 October at 4pm (Melbourne time)
Join the mailing list for more info and updates:
shorturl.at/mELZ3
From 2015 to 2023, eight years of empirical research on research integrity: a scoping review - Research Integrity and Peer Review
Background Research on research integrity (RI) has grown exponentially over the past several decades. Although the earliest publications emerged in the 1980 s, more than half of the existing literature has been produced within the last five years. Given that the most recent comprehensive literature review is now eight years old, the present study aims to extend and update previous findings. Method We conducted a systematic search of the Web of Science and Constellate databases for articles published between 2015 and 2023. To structure our overview and guide our inquiry, we addressed the following seven broad questions about the field:-What topics does the empirical literature on RI explore? What are the primary objectives of the empirical literature on RI? What methodologies are prevalent in the empirical literature on RI? What populations or organizations are studied in the empirical literature on RI? Where are the empirical studies on RI conducted? Where is the empirical literature on RI published? To what degree is the general literature on RI grounded in empirical research? Additionally, we used the previous scoping review as a benchmark to identify emerging trends and shifts. Results Our search yielded a total of 3,282 studies, of which 660 articles met our inclusion criteria. All research questions were comprehensively addressed. Notably, we observed a significant shift in methodologies: the reliance on interviews and surveys decreased from 51 to 30%, whereas the application of meta-scientific methods increased from 17 to 31%. In terms of theoretical orientation, the previously dominant “Bad Apple” hypothesis declined from 54 to 30%, while the “Wicked System” hypothesis increased from 46 to 52%. Furthermore, there has been a pronounced trend toward testing solutions, rising from 31 to 56% at the expense of merely describing the problem, which fell from 69 to 44%. Conclusion Three gaps highlighted eight years ago by the previous scoping review remain unresolved. Research on decision makers (e.g., scientists in positions of power, policymakers, accounting for 3%), the private research sector and patents (4.7%), and the peer review system (0.3%) continues to be underexplored. Even more concerning, if current trends persist, these gaps are likely to become increasingly problematic.
researchintegrityjournal.biomedcentral.com
reproducibilitea.org
🔵 Tokyo - Topic: Construct and measure proliferation in psychology
Thursday, 30 October at 10:45am (JST).
More details: x.com/repTeaTokyo
reproducibilitea.org
🔵 Universidad de Murcia - Topic: TBC
Monday, 27 October at 16:00 CET
Únete: t.co/daiNcf7ZaB
https://forms.gle/FuK2FeNGKgbfxwReA
t.co
reproducibilitea.org
🔵 UniBasel - Topic: Increasing computational reproducibility or how-to share your research code
Thursday, 16 October at 3:30pm CEST
Registration:
www.eventbrite.com/e/increasing...
Increasing computational reproducibility or how-to share your research code
Camille Maumet
www.eventbrite.com
reproducibilitea.org
📅 Upcoming events - ReproducibiliTea online
Check out our calendar for more details:
reproducibilitea.org/calendar

#OpenResearch #OpenScience #metasci #academicsky
ReproducibiliTea Calendar
ReproducibiliTea - Journal Clubs for Open Science
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reproducibilitea.org
To learn more, join our webinars “Peer Review and its Diversification”
15-16 October 2025 on Zoom
Registration: forms.gle/1R4Y3d33W8bQ...
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asapbio.bsky.social
Did you miss the ASAPbio September 2025 Community Call: Experiments in publishing with PubPub & Octopus, where we heard from @alexandrafreeman.bsky.social and @gabestein.com?

Don't worry, we've got you covered! Watch the recording📽️ on YouTube and read a brief summary 📄on our blog.👇
ASAPbio September 2025 Community  Call: Experiments In Publishing With PubPub & Octopus – ASAPbio
During the September Community Call, we heard from Alex Freeman from Octopus and Gabe Stein from PubPub.
buff.ly
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lmu-osc.bsky.social
Curious about creating a reproducible workflow for your research? 🔍 We provide several self-paced tutorials about tools that make your work more efficient, reproducible, and collaborative.
Self-Paced Tutorial of the Day: Introduction to R 📊 lmu-osc.github.io/introduction...
Welcome – Introduction to R
lmu-osc.github.io