Process for adding new data types to model

[lopierra]

We have been trying to set up working groups for Cognitive and Imaging data, but I think they're too open-ended right now since most groups don't even have data available yet. Wondering if the best way to proceed would be to draft a data model and then recruit commenters for an RFC.

For discussion:

• Should we work on this internally before setting up WGs with our cohort PIs?
• Do we need one data model for Assays, or should each new data type have its own model? (Potential data types include cognitive assessments, imaging, immune assays, metabolomics, polysomnography, actigraphy, etc.)
• May need 2 different models depending if we only have metadata about assays (e.g. ABC-DS) or if we can include the results themselves in the portal (eg. draft cognitive model we set up - metadata only vs. metadata + data)
• Do we have enough representation for these data type in @monicacecilia's user requirements analysis?

Other links:

• Draft cognitive data model & inventory that we set up for the Cognitive WG & discussed at 1 meeting
• Draft imaging data model & inventory that I started (no WG meetings yet)
• MRI imaging template that another Sage group is working on for Alzheimer's

[putmantime]

This is a good discussion for the linkml common data model workshop in March in Berkeley