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Copy file name to clipboardExpand all lines: README.md
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@@ -41,7 +41,7 @@ What is content is audited:
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* associated to the correct community (by name as DSpace doesn't store legacy community jupiter id)
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* fields (labels from DSpace API): name, description, abstract, title
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* Bitstream
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* Bitstream
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* existence
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* associated with the correct Item (ID & Name)
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* correct sequence number
@@ -107,6 +107,8 @@ I'll import into a Google Sheet to leverage the power of the grid layout
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`index` is empty if a thing is not found in Jupiter (e.g., a UI entered, hand-crafted test in Scholaris)
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`dspace_id` is nan/empty if a thing is not found in DSpace (e.g., an ERA item has not been migrated into Scholaris)
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Note for bitstreams, all DSpace bitstreams are included in the report, including the DSpace generated bitstreams. One can limit and remove if the bundlename is not ORIGINAL.
@@ -189,6 +191,9 @@ The steps to set up a validation run.
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3. `./dspace_api_exports.py` to export (CSV) DSpace metadata
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* Option for items and bitstreams: `--random_sample_by_percentage`with default 100%andrange between 1-100.
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* Option for items and bitstreams: `--dso_type=item_quick`and`--dso_type=bitstream_guick` which leverage Solr as much as possible to reduce number of API calls (notas well tested)
puts"Mapping Error on jupiter ID #{change_event.item_id} of type #{change_event.item_type} and event #{change_event.event}"
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puts"Mapping Error on jupiter ID #{change_event.item_id} of type #{change_event.item_type} and event #{change_event.event}. Check if object destroyed."
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