Has anyone used CORE as part of continuous integration for dataset creation?

[billdenney]

There is a discussion on the pharmaverse slack right now about how open tools can be used for continuous integration for SDTM (and ADaM and ...) data checking. I found a Dockerfile for CORE within the repo (https://github.com/cdisc-org/cdisc-rules-engine/blob/f70881313531a7f489e8e7094e8268d0df2c3814/dockerfile) that suggests that someone may have some experience with similar work or perhaps something along those lines.

So, has anyone done used CORE in continuous integration of dataset creation? (My personal use case is with a self-hosted GitLab instance.)

[JozefAerts]

If this is what you mean ... Well, we have integrated CORE in our SDTM-ETL mapping tool: the user can execute CORE any time on the (draft/temporary) datasets, even when mapping is not complete yet. As an option, the user can do rule selections based on e.g. organization (FDA/CDISC), SDTM class, etc, down to selecting individual rules. Also the rules derived from the "SDTM dataset specializations" have been implemented, and the user can also select their own, internal rules.
It is not open-source though (somehow I need to make a living ...).
Documentation is at: www.xml4pharma.com/SDTM-ETL