# other metadata
'ProtocolId':'1',
'ProtocolName':'GSTP1 Methylation',
'LeadPI':'John Doe',
'DataCustodian':'Ed Stark',
'DataCustodianEmail':'*****@*****.**',
'CollaborativeGroup':'Prostate and Urologic',
'OrganSite':'Pancreas',
'UpdateCollection':'true', # default value = true
}
# upload dataset staged in directory $LABCAS_STAGING/<product_type>/<dataset_id>
labcasClient.uploadCollection(dataset_name, metadata)
# update the dataset metadata WITHOUT generating a new version
metadata['ProtocolId'] = '99'
labcasClient.uploadCollection(dataset_name, metadata)
# update dataset metadata while generating a new version
metadata['LeadPI'] = 'Mister X'
labcasClient.uploadCollection(dataset_name, metadata, newVersion=True)
# list all product types in File manager
labcasClient.listProductTypes()
# query the product types from the XML/RPC File Manager interface
labcasClient.getProductTypeByName(product_type)
'CollectionDescription': collection_description,
'DatasetName': dataset_name,
'OwnerPrincipal': owner_principal,
'DatasetDescription': dataset_description,
# other metadata
'Consortium': 'MCL',
'Discipline': 'Pathology',
'LeadPI': 'Robert D. Cardiff',
'QAState': 'Public',
'Organ': 'Breast',
'Institution': 'UC Davis',
'ImagingTechnique': 'TMA (Tissue Micro Array)',
'Project': 'CTIIP (Clinical and Translational Imaging Informatics Project)',
'Species':'Mouse',
'FileType':'application/aperio',
}
# upload dataset staged in directory 'mydatadir'
labcasClient.uploadCollection(dataset_name, metadata)
# query the product types from the XML/RPC File Manager interface
labcasClient.getProductTypeByName(product_type)
# or equivalently
labcasClient.getProductTypeById("urn:edrn:%s" % product_type)
# list all products for given product type
labcasClient.listProducts(product_type)
