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The input CSV has two columns for support: material and material_as_recorded. The idea being that an authorized value (or values for MSS with mixed support media, like paper and parchment) would be used for material.
There are a number of tasks:
Determine whether the model makes this distinction. It does!
If yes, Identify a vocabulary/authority for material and
Come up with a method to convert from material_as_recorded to material.
The text was updated successfully, but these errors were encountered:
AAT, as a Getty vocabulary, has a reconciliation service already implemented through OpenRefine.
TGM, as a Library of Congress vocabulary, does not (to my knowledge). So one would have to be scripted, I believe.
The input CSV has two columns for support:
material
andmaterial_as_recorded
. The idea being that an authorized value (or values for MSS with mixed support media, like paper and parchment) would be used for material.There are a number of tasks:
Determine whether the model makes this distinction.It does!If yes,Identify a vocabulary/authority formaterial
andmaterial_as_recorded
tomaterial
.The text was updated successfully, but these errors were encountered: