JSON-LD for future Clinical Trial data transfers with CDISC

Is anyone else out there using JSON-LD with clinical trials?

I have been working on the CDISC Open Source Alliance Dataset-JSON
hackathon, experimenting with JSON-LD to make sense of CDISC data.

The hackathon is demonstrating the overwhelming advantages of using JSON
over SAS' ancient .xpt format that is still mandated by regulatory
authorities.
One outcome is draft JSON-LD context content to accompany the
proposed JSON-format CDISC content.
(my clumsy efforts <https://github.com/TeMeta/Dataset-JSON_hackathon> are
an exploration that started as a way to learn a new language/stack, and
ended up as an obsession with JSON-LD).

The time is right for clinical trial dataset metadata to have the
opportunity to join the semantic web.

   - the introduction of Biomedical Concepts over the coming years will
   necessitate a more graph-based approach
   - JSON seems the obvious successor to XPT for clinical trial
   submissions, there has been significant interest in this hackathon
   - JSON-LD is an ingenious bridge between machine-readable graphs and
   human-readable datasets
   - CDISC needs a more interoperable format like FHIR

Let me know if anyone else is interested in developing JSON-LD for CDISC
I can be reached at jeremyyjteoh@gmail.com

Thanks!