Dear Dataverse community,
we would like to offer the possibility to archive datasets (versioned, but unpublished) for a certain period of time (up to 10 years) in our dataverse instance
(https://darus.uni-stuttgart.de).
Archived datasets should be accessible like unpublished datasets (to all persons with ViewUnpublishedDataset permissions). We want to use this for clean up tasks to delete datasets that are neither published nor archived after a year.
We started to look into the code and found a version state named ARCHIVED (f.e. https://github.com/IQSS/dataverse/blob/28a9d441eeb2e183bf9b0b083e89208a5e860b3c/src/main/java/edu/harvard/iq/dataverse/DatasetVersion.java#L596)
but did not find any logic around this state or futher documentation (but perhaps we did not look properly).
Are there any plans to use this state? Or are there already any developments or implementation of an archival feature/workflow?
Does anyone have similar plans or requirements?
Thanks and best,
Doro (in the name of the DaRUS-Team)
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I don’t know of any support specifically for dealing with draft datasets. It sounds like the deaccessioned state might do ~what you want – it hides the data from the public but let’s the author see it, but it is only available after publication.
The archival bag work is less directly relevant. It makes a single zip file copy of the data and metadata that could be stored in a backup/archiving system, but it doesn’t remove the live dataset from Dataverse and doesn’t change its visibility, and it is setup to work for published versions. It’s possible to imagine archival bags being extended to be a way to store read-only datasets that could be viewed but would no longer be in the database (and would have to be re-imported to be editable again.) The basic idea there is to have code similar to what’s in the Zip Previewer that would show you metadata and allow download of individual files from within the zip without unpacking it. That would make them smaller, easier to put in colder storage, etc.
One cheap option – the Curation Status Labels functionality could have one label for “Archived” (or “Archived through 2034”, etc. if you want to track dates). It would enable your curators to see that the draft dataset is archived and get a report listing all the datasets in that state. Aside from the label though, the dataset would just remain a normal draft dataset.
--Jim
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Dear Asbjørn,
our archival metadata block is available on https://github.com/izus-fokus/darus-metadata-blocks/blob/master/archival.tsv So far, there is no implementation/workflow around this and the metadata block is not really used. So we are very open for any kind of collaboration on this metadata block or the whole archiving feature idea.
Kind regards,
Doro (FoKUS Stuttgart)
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