Data model expansion to include metadata models for priority data types

[Bankso]

The MC2 Center data model does not currently enable assay-specific metadata to be recorded. Adding these models is a critical part of supporting data sharing and reuse. Potential models to add were originally outlined in this spreadsheet

Some models that we should consider implementing:

• (Multiplexed) imaging and microscopy
• bulk RNA-Seq
• single cell RNA-Seq
• 10x Visium/Xenium
• Flow Cytometry
• Mass Spectrometry/Proteomics/Metabolomics
• Other sequencing based methods (ATAC-Seq, CUT&RUN, ChIP-Seq, etc.)

Some notes on approach:

• where possible, I think we should use 'depends on' designations, to help define attribute connections and component dependencies. This should allow us to use a single template to cover multiple related data types
• data model development should include the metadata model itself, but also an SOP-type doc that describes the folder/organizational strategy, ingress/storage considerations, guide for annotating the resources (like what types of files the requested metadata can be found in, suggested order of completion and submission, etc.) that will be included in reference materials
• while the assay models are critical for reuse, the DatasetView model is completely sufficient for CCKP entries. I think we should exclusively display DatasetView info on the portal and link back to table snapshots or Synapse datasets that contain the assay-specific metadata

[Bankso]

Related to https://github.com/mc2-center/mc2-center-dcc/issues/71 and https://github.com/mc2-center/mc2-center-dcc/issues/72

Integrate CDS/DataHub models where reasonable. Develop mappings if needed.

[aclayton555]

24-11/12 Orion to document where we are at by end of sprint and what has been integrated. As needed, split off a new ticket