Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.
https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/
Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.
Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).
Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!
https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/
First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)
https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/
Oh dear, it seems that CDISC are now using AI to help standardise clinical trial data.
New York NY - 13 February 2025 – Lindus Health, the “anti-CRO” running radically faster, more reliable clinical trials, has announced their collaboration with the Clinical Data Interchange Standards Consortium (CDISC), to accelerate the generation of standardized concepts using AI. CDISC is an organization that develops data standards to streamline the collection, sharing, and analysis of clinical trial data on a global scale.
I was just discussing the CDISC Analysis Results Standard, or ARS for short, with a colleague, and came to the conclusion that they probably didn't have any Brits on the team that came up with the name
Clinical research data nerds:
You may be interested to know that CDISC are organising a hackathon around their new Analysis Results Standards (ARS) model, which I think looks really cool.
You can register here if you're interested.
I'm looking forward to when they come up with the Extended version of the model. I wonder what acronym they'll use for that?
https://www.cdisc.org/events/webinar/analysis-results-standards-hackathon-kick
CDISC invites you to participate in the Analysis Results Standards (ARS) Virtual Hackathon. What is ARS? CDISC is developing ARS, which aims to facilitate automation, reproducibility, reusability, and traceability of analysis results data in clinical trial analysis and reporting. Hackathon Objective
Brian Repko
Adam Jacobs 🇺🇦
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