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We opted to fallback to unvalidated
fallback to Dandiset pydantic model would require changes to that model.
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doc/design/doi-generation-2.md

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@@ -201,7 +201,7 @@ We will keep (and deprecate) the `publish` parameter, and add a new parameter `e
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In the current implementation, only published dandisets are given a DOI, so we are using the pydantic validation for `PublishedDandiset`.
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This is too restrictive for our case.
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Instead, we'll try `PublishedDandiset` first, then fallback to `Dandiset`, then fall back to unvalidated.
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Instead, we'll try `PublishedDandiset` first, then fallback to unvalidated.
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## Alternatives Explored
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