Add support for detection and addition of ome/ngff "standard" into as…

…sets summary

dandischema/metadata.py

@@ -378,13 +378,18 @@ def _add_asset_to_stats(assetmeta: Dict[str, Any], stats: _stats_type) -> None:
  stats["tissuesample"].append(sample)
 
  stats["dataStandard"] = stats.get("dataStandard", [])
+
+ def maybe_add_standard(standard: str) -> None:
+ if standard not in stats["dataStandard"]:
+ stats["dataStandard"].append(standard)
+
  if "nwb" in assetmeta["encodingFormat"]:
- if models.nwb_standard not in stats["dataStandard"]:
- stats["dataStandard"].append(models.nwb_standard)
+ maybe_add_standard(models.nwb_standard)
  # TODO: RF assumption that any .json implies BIDS
  if set(Path(assetmeta["path"]).suffixes).intersection((".json", ".nii")):
- if models.bids_standard not in stats["dataStandard"]:
- stats["dataStandard"].append(models.bids_standard)
+ maybe_add_standard(models.bids_standard)
+ if Path(assetmeta["path"]).suffixes == [".ome", ".zarr"]:
+ maybe_add_standard(models.ome_ngff_standard)
 
 
 # TODO?: move/bind such helpers as .from_metadata or alike within

dandischema/models.py

@@ -807,6 +807,12 @@ class StandardsType(BaseType):
  identifier="RRID:SCR_016124",
 ).model_dump(mode="json", exclude_none=True)
 
+ome_ngff_standard = StandardsType(
+ name="OME/NGFF Standard",
+ # Seems no dedicated RRID, only for OME itself?
+ # identifier="RRID:SCR_???",
+).model_dump(mode="json", exclude_none=True)
+
 
 class ContactPoint(DandiBaseModel):
  email: Optional[EmailStr] = Field(