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This is not an IPFX issue per se, but is linked to #547 and the fact that the current metadata code doesn't save cell specimen IDs to file.
Once #547 is implemented, newer files will have that embedded, but we don't plan to fix and reupload older data. For older datasets, we should make sure metadata that contains both cell specimen and ephys roi result IDs (or at least asset-level DANDI links) is available, and also ideally add the cell IDs to the asset-level data stored in the DANDI databse. The following details from Satra outline the use of the Dandi API to do so directly (without reuploading data):
from dandi.dandiapi import DandiAPIClient
from dandischema.models import BioSample, SampleType, Asset
from dandischema import validate
api = DandiAPIClient("https://api.dandiarchive.org/api")
ds = api.get_dandiset("XXXXXX")
for asset in ds.get_assets():
meta = asset.get_metadata()
meta.wasDerivedFrom = [BioSample(identifier="cell1", sampleType=SampleType(name="cell"), wasDerivedFrom=None)]
meta.schemaVersion = "0.6.2". # temporary kludge
validate(meta.json_dict(), json_validation=True) # in case you want to check before you update.
asset.set_metadata(meta)
He also added "the meta object is a pydantic object, and hence can be used to set other aspects of metadata, such wasAttributedTo. let me know if you have any questions."
The text was updated successfully, but these errors were encountered:
This is not an IPFX issue per se, but is linked to #547 and the fact that the current metadata code doesn't save cell specimen IDs to file.
Once #547 is implemented, newer files will have that embedded, but we don't plan to fix and reupload older data. For older datasets, we should make sure metadata that contains both cell specimen and ephys roi result IDs (or at least asset-level DANDI links) is available, and also ideally add the cell IDs to the asset-level data stored in the DANDI databse. The following details from Satra outline the use of the Dandi API to do so directly (without reuploading data):
He also added "the meta object is a pydantic object, and hence can be used to set other aspects of metadata, such wasAttributedTo. let me know if you have any questions."
The text was updated successfully, but these errors were encountered: