🚀 New: DOI integration is now live for all projects!

We’ve automated DOI's across the Registry Hub to ensure your research is permanently citable, globally discoverable, and professional-grade.

Give your project the permanence it deserves.

#MetaResearch #DOI #ResearchIntegrity

Keep calm and be transparent: advice from scientists who retracted their papers Retractions correct the scientific record, but they have stigma attached to them. Some in the research community want that to change.

Owning mistakes is part of doing science. More researchers are speaking openly about retractions, helping shift the culture from blame to transparency.

🔗 doi.org/10.1038/d415...

#ScienceCulture #Research #Integrity #OpenScience #MetaResearch #CtrlZAward

#ReproducibiliTea #Reproducibility #OpenScience #MetaResearch #ResearchCulture #AcademicCommunity #EarlyCareerResearchers #ScienceCommunication #OpenResearch #TeamScience

Strengthening support for data citations and saying goodbye to Event Data - Crossref We’re excited to announce a new data citation API endpoint and are seeking your feedback. The new service makes existing data citation relationships in our metadata available, thereby surfacing this p...

New data citation API endpoint making existing data citation relationships in @crossref.bsky.social metadata available

www.crossref.org/blog/strengt...

#scholarlydata #metascience #metaresearch

Collections

Interested in reproducibility? Natural history? #MetaResearch? There's an eLife Collection for that!

Get reading today: buff.ly/toeezSV.

#OpenScience #ResearchPolicy #CRDCN #DataAccess #MetaResearch

Likelihood Ratio Test for Publication Bias Likelihood Ratio Test for Publication Bias — a statistical method to detect and quantify publication bias in heterogeneous datasets.

#statstab #504 Likelihood Ratio Test for Publication Bias

Thoughts: Interesting idea for a problem many of us think is present, but is hard to measure.

#likelihood #publicationbias #QRPs #metascience #metapsychology #metaresearch

freestylerscientist.pl/projects/lik...

2nd Canadian Open Science conference coming to Ottawa in October 2026 - Canadian Research Data Centre Network The 2nd Canadian Open Science Conference will take place October 27–29, 2026, in Ottawa, bringing together researchers, practitioners, and partners from across the country to advance open science in…

🔗 Learn more: buff.ly/mEbY7zU

#OpenScience #MetaResearch #MetaScience @Kelly Cobey @Stefanie Haustein

Meta's internal study reveals parental controls have minimal impact on reducing teens' compulsive social media use. #SocialMedia #TeenHealth #ParentalControls #MetaResearch Link: thedailytechfeed.com/meta-study-s...

Murine bone marrow macrophages and human monocytes do not express atypical chemokine receptor 1 The atypical chemokine receptor 1 (ACKR1) was discovered on erythrocytes as the Duffy blood group antigen (Cutbush et al., 1950), also called Duffy-antigen/receptor for chemokines, or DARC (Novitzky-B...

Based on our publication on antibody validation, R&D Biotechne confirmed that MAB4139 and AF6695 exhibit nonspecific binding and have been discontinued. Thanks for that 👍.
For assessing ACKR1 expression, the specific clones 2C3 and 6B7 should be used.
#Metaresearch

www.cell.com/cell-stem-ce...

#metascience #metaresearch #openscience #psychology #science #opendata

Adequacy of trial registration and consistency in outcome reporting in rheumatology RCTs: A meta-research study Transparent reporting of randomized controlled trials (RCTs) is essential to ensure research integrity. While registration practices of RCTs are impro…

We spent time checking how outcomes are registered and reported in publication, using database of RCT in rheumatology.
The results just got published in Seminars in Arthritis and Rheumatism:
www.sciencedirect.com/science/arti...
Results aren't good ⬇️1/5

#MetaResearch #ClinicalTrials #Rheumatology

#metascience #metaresearch #psychology #measurement #methodology #preprint

Comparison between RoB-1 and RoB-2 tool and impact on network meta-analysis results – a case study from a living Cochrane review on psoriasis This study was conducted within a large Cochrane living systematic review on psoriasis treatments with the aim to evaluate the inter-rater agreement o…

Comparison between RoB-1 and RoB-2 tool and impact on #NetworkMetaAnalysis results – a case study from a living #Cochrane review on psoriasis #RiskOfBias #EvidenceSynthesis #MetaResearch www.sciencedirect.com/science/arti...

Postdoctoral Fellowship Announcement 2026-27

METRICS is accepting applications for the 2026–27 postdoctoral fellowship in meta-research at Stanford. Deadline: Feb 15, 2026. Start date will be around Oct 1, 2026 (+/- 2 month flexibility). See: metrics.stanford.edu/postdoctoral... #MetaResearch #postdoc

Research funding is a key determinant of scientific progress. However, current allocation procedures for third-party funding are criticized due to high costs and biases in the selection. Here, we present data from a large German funding organization on an implementation of a lottery-first approach followed by peer review to allocate funding. We examine the changes in submissions and funded projects of female applicants after implementation, estimate the costs of the overall allocation process, and report on the attitudes and satisfaction of researchers and reviewers. The data show an increase of 10% in submissions and a 23% increase in funded projects from female applicants with the lottery-first approach compared to a previously used procedure. Additionally, the lottery-first approach was estimated to have 68% lower economic costs compared to a conventional single-stage peer review approach. Satisfaction with this funding approach was high and around half of applicants preferred an initial lottery followed by peer review over a conventional approach. Thus, the lottery-first approach is a promising addition to allocation procedures.

Lottery before peer review is associated with increased female representation and reduced estimated economic cost in a German funding line https://www.nature.com/articles/s41467-025-65660-9

New from @rmrahal and colleagues

Funder was German Foundation for […]

[Original post on mastodon.online]

📢 It’s almost time! Our three Meta-Research Seminars take place tomorrow at the CNC-UC (Polo I). See you there!

#MetaResearch #PDBEB #idpIN #CNC-UC #HorizonEurope
@ucoimbra.bsky.social

Thank you so much! Really excited to join the team & to continue our work together advancing #MetaResearch & #OpenScience

To everyone interested in reliable, transparent & open science, make sure to follow @excelscior-era.bsky.social for updates on projects and collaborations! #ResearchIntegrity

Canada: #Funding to Strengthen National Capacity In #Metaresearch

sshrc-crsh.canada.ca/en/news/2025/funding-to-...

SSHRC | CRSH

What we can learn from tracking research funding flows from North to South - Impact of Social Sciences How tracking global development research funding flows could provide valuable insights into key questions facing the international development sector.

👀ICYMI: "If we want to know where the next transformative piece of evidence will come from, we need to look at how, and whether, it will be funded."

#ResearchFunding #InternationalDevelopment #MetaResearch

Incentives are not only an important topic when talking about the scientific incentive structure - it's also important to consider and report participant incentives. Interesting talk by Alessandro van den Berg at the PMGS #MetaResearch Symposium. #OpenScience

🚀 The first video created for the #MIRROR hub is out, marking the start of a series of multimedia resources developed in partnership with @collablibrary.bsky.social and designed to make meta-research insights more engaging, inclusive, and actionable. #SIA #MetaResearch
youtu.be/M70yZ_55AQQ?...

Looking forward to a full day dedicated to #metaresearch at the PMGS Symposium! ✨ #OpenScience

📢 Seminar Alert! ✨

Join us on Nov 7th, 2025 at the University of Coimbra for seminars on #MetaResearch, #PublicationBias and #ResponsibleResearch!
Speakers: Alfredo Sánchez-Tójar, Susana Magalhães, Tracey Weissgerber & Inês Almeida.

#PDBEB #idpIN #CNC #HorizonEurope #ERAChair @ucoimbra.bsky.social

Sage Journals: Discover world-class research Subscription and open access journals from Sage, the world's leading independent academic publisher.

🚨 New paper out!
“Reporting of Generalized Linear Mixed Models (GLMM) in Sports Sciences: A Scoping Review” just published in Journal of Sports Analytics 🔗 journals.sagepub.com/doi/10.1177/...

Are GLMMs being applied and reported correctly in #SportsScience? 🤔 #metaresearch #sportsanalytics

ARMA Research Evaluation SIG Drop-In Session: Randomisation in funding allocation 6 October 2025, 13.00-14.00 Event Details This drop-in session will focus on randomisation: the use of a lottery to make decisions about funding allocation. This new method has been trialled and is increasingly considered by funders as a way to reduce the burden on assessors and make the process fairer for all applicants. The goal of this session is to hear about experiences with this approach and to discuss both its opportunities, such as for internal funding allocation, and the challenges ahead. Speakers: Ken Emond, Head of Research Funding, British Academy Alyson Fox, Director of Research Funding, Wellcome Trust Tom Stafford, Professor of Cognitive Science, University of Sheffield; Senior Research Fellow, Research on Research Institute

ARMA Research Evaluation SIG Drop-In Session: Randomisation in funding allocation

arma.ac.uk/product/arma-research-ev...

Online, 6th of October.

- I will speak on the work we do at […]

[Original post on mastodon.online]

For a variety of reasons, including a need to save time and a desire to reduce biases in outcomes, some funders of research have started to use partial randomisation in their funding decision processes. The effect that randomisation interventions have on the reliability of those processes should, it is argued, be a consideration in their use, but this key aspect of their implementation remains under-appreciated. Using a simple specification of a research proposal peer review process, simulations are carried out to explore the ways in which decision reliability, bias, extent of decision randomisation and other factors interact. As might be expected, based on both logic and existing knowledge, randomisation has the potential to reduce bias, but it may also reduce decision reliability as inferred from the F1 score and accuracy of a simulated binary (successful, rejected) decision outcome classification process. Bias is also found, in one sense and qualitatively, to be rather insensitive to partial randomisation as it is typically applied in real-world situations. The simple yet apparently effective specification of the simulation of reviewer scores implemented here may also provide insights into the distribution of merit across research funding proposals, and of assessment of them.

Reliability, bias and randomisation in peer review: a simulation

https://osf.io/preprints/socarxiv/4gqce_v1

New preprint from UK Metascience Unit argues that randomisation of proposal selection will necessarily reduce sensitivity to proposal quality

Medical Journal Policies on Requirements for Clinical Trial Registration, Reporting Guidelines, and Data Sharing: A Systematic Review - Peer Review Congress Kyobin Hwang,1 Zexing Song,2,3 Marsida Stafa,3 Jodie Chiu,4 An-Wen Chan1,3,5 Objective We aimed to determine how often medical journals have policies requiring clinical trial registration, adherence to reporting guidelines, and participant-level data sharing. We also evaluated associations between journal characteristics and the existence of such policies for clinical trial manuscripts. Design A PubMed search using Read more...

Journals with a purely #OA publishing model and higher impact factor were more likely than others to adopt RCT transparency policies (trial reg, protocol submission, #DataSharing)
@utoronto.ca @wchospital.bsky.social @tmu-medicine.bsky.social
#OpenScience #Metaresearch

Nonregistration, premature discontinuation due to poor recruitment, and nonpublication of #RCT results remain major challenges, especially for nonindustry trials
@schwenkej.bsky.social @clinepi-basel.bsky.social
@unibas.ch @mcmasteruniversity.bsky.social
#OpenScience #MetaResearch #PeerReview

A prompt-based approach was highly accurate in defining clinical trial outcomes and identifying outcome changes in ClinicalTrials.gov. This approach could be expanded to identify changes between registrations and manuscripts. Although it did not achieve perfect accuracy, our prompt-based approach could help editors and peer reviewers detect likely discrepancies that warrant further review.

#ChatGPT was accurate in identifying changes in RCT outcomes on ClinicalTrials.gov, and completed the entire process (ie, matching, defining, comparing) in ~2 min per trial vs 27 min for humans
@ischoolui.bsky.social @colbyvorland.bsky.socia
#clinepi #metaresearch
peerreviewcongress.o...