Two main frameworks that shape research assessment in the NLs are moving to open research information in line with the #BarcelonaDeclaration: the new SEP protocol and NWO's evidence based CV.
A blog (w/ @ludowaltman.bsky.social) about context and importance:
upstream.force11.org/research-eva...
🆕 New publication!
Our researchers explored how #Bayesian methods are used in confirmatory #ClinicalTrials.
The most common reasons for choosing Bayesian methods were making probability statements about the interventions or the flexibility to adapt the trial design.
🔗 Read more: buff.ly/wHnFcuC
New blog post: Branded Figures and Tables in R and Python with Quarto.
Style your figures and tables to match your brand automatically at render time, with light/dark mode support.
mickael.canouil.fr/posts/2026-0...
#Quarto #Python #RStats #Brand
Many folk are surprised to discover thay Risk of Bias assessment tools tend not to interrogate the question “Did this study actually happen? And are its results trustworthy enough to believe?”
Jack’s Cochrane endorsed INSPECT-SR checks have done a lot to mainstream such Trustworthiness Assessment.
A passenger flight from Costa Rica to Atlanta got the chance to witness Artemis launch.
I imagine how painful it was to be sitting on the wrong side of that plane!
*Sharing code for research publications*
Here's the process that I've ended up with, through various collaborators like Robert Forkel, @simongreenhill.bsky.social , Stephen Francis Mann and others.
Not perfect perhaps, but works pretty ok.
A student asked, so I made this illustration.
We have just launched an open consultation on virtual animal control groups to help reduce animal use in medicines development.
Check it out now! 👇
❗Consultation open until 12 May 2026.
Open Research Europe is re-launching with a new platform, and broader set of supporters, this fall. It uses the publish-review-curate model. "Publishing will remain completely free for both European Commission-funded researchers and authors from participating countries." home.cern/news/news/ce...
We’ve just released a pre-print reporting the development and validation of an AI tool to write statistical analysis plans from protocols.
www.linkedin.com/feed/update/...
Thread 👇
The #NIHR are currently advertising several funding committee vacancies including a number to serve on the #BMBR (Better Methods Better Research) funding Committee. If you are interested in supporting the funding of methods research in the UK, please consider applying.
www.nihr.ac.uk/get-involved...
COMMENTARY: What Makes an Estimand Useful? Guidance on the Choice of Intercurrent Event Strategies @brennankahan.bsky.social @suziecro.bsky.social
onlinelibrary.wiley.com/doi/full/10....
Data Organization in Spreadsheets Karl W. Broman & Kara H. Woo Pages 2-10 | Received 01 Jun 2017, Accepted author version posted online: 29 Sep 2017, Published online: 24 Apr 2018 1. Introduction 2. Be Consistent 3. Choose Good Names for Things 4. Write Dates as YYYY-MM-DD 5. No Empty Cells 6. Put Just One Thing in a Cell 7. Make it a Rectangle 8. Create a Data Dictionary 9. No Calculations in the Raw Data Files 10. Do Not Use Font Color or Highlighting as Data 11. Make Backups 12. Use Data Validation to Avoid Errors 13. Save the Data in Plain Text Files ABSTRACT Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this article offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses. The basic principles are: be consistent, write dates like YYYY-MM-DD, do not leave any cells empty, put just one thing in a cell, organize the data as a single rectangle (with subjects as rows and variables as columns, and with a single header row), create a data dictionary, do not include calculations in the raw data files, do not use font color or highlighting as data, choose good names for things, make backups, use data validation to avoid data entry errors, and save the data in plain text files.
Every day is a good day for sharing one of the most useful papers about research data ever written. PLEASE get your people to understand and follow this advice.
www.tandfonline.com/doi/full/10....
We’re still going to be seeing p-values in table 1s when we’ve all turned to fossils and dust, aren’t we?
⏰ Don't miss your chance to submit an abstract for the International Clinical Trials Methodology Conference 2026!
🗓️ The deadline is 22 April 2026
🔗 Find out more here: ictmc.org/abstract-sub...
#ICTMC2026 #TMRP #UKCTUNetwork
Box art for Quake 3 Arena
Box art for Donkey Kong Country 2
Box art for SimCity 3000
Box art for System Shock 2
QTP with a game that has a 10/10 soundtrack
(too many to pick just one - love all these for different reasons)
Do researchers share their code upon request? Does running their orginal code on the original data produce the original results? We provide evidence in a new Royal Society Open Science publication. Studying more than 1,000 articles which use data from the European Social Survey, we find that... 🧵
Sharing code is important for good science👇
(Also, the SAP’s written in Quarto and rendered in HTML so it’s all purdy)
C’mon folks, join in. It does feel scary, but it’s the right thing to do, and it feels good when you have.
Posted my first SAP online a couple of weeks ago, to go with the protocol (already online), code to follow in time when written. Do it!
We're thrilled to announce the Ctrl-Z Award, a US$2,500 prize for researchers “who discover substantial errors in their published work and take meaningful steps to correct the scientific record."
Covered by @nature.com today; read more here: centerforscientificintegrity.org/2026/03/10/a...
The image is an infographic titled "Open science creates economic value through reuse at scale," by PLOS. It highlights four benefits of reuse: prevents duplication of effort, accelerates research processes, compounds benefits through network effects, and enables reuse across sectors. The left side features a flowchart illustrating reuse from a single research output. On the right, a text box emphasizes that open science can enhance productivity and strengthen long-term performance when done correctly. A final note states, "Publishing is a vital part of the infrastructure that enables reuse at scale.
Open Science isn’t just a values choice. It’s an economic one.
We are sharing a new independent report by @technopolis-group.com on the economic benefits of #OpenScience and what drives value when research outputs are designed for reuse at scale: plos.io/4rdAxCY
A few headline takeaways:
🔸 Biggest gains come from reuse beyond publications (data, code, software, workflows)
🔸Efficiency gains reduce duplication
🔸Open infrastructures enable innovation and spillovers
🔸Costs and benefits are unevenly distributed across the research ecosystem
If you want to take your mind off awful politics and look at awful science stuff instead, this is a good read: www.sciencedetective.org/scientific-d...
If you are interested in PDF accessibility, there has been some big progress in Quarto.
Take a look at the latest blog post: quarto.org/docs/blog/po...
#Quarto #Accessibility #LaTeX #Typst
Looking forward (!) to reading funding applications with AI-generated sample size calculations done at the 11th hour.
…and I’m not sure whether outsourcing that bit to an entropy engine is something I’m comfortable with, even though its’s appealing to think that something could make it faster and easier.
But I’m sure using this at scale is going to homogenise SAPs into long boring documents with lots of words but no meaning.
SAPs take ages to write, and it’s hard, and it’s a pain, but they force you to use your brain meat and work out all the thorny difficult stuff…
Rrrrrright. I mean, the words are all there. But they make no sense.
Primary analysis that doesn’t use MI but assumes MAR (so what are you doing with the missing values?!).
Like I said, complicated feelings. I’m sure someone’s going to have examples of where it works and where it doesn’t.
