Feature Request: Add more information to the Anonymized Access Documentation

[sekmiller]

Overview of the Feature Request
In addition to withholding certain metadata fields as configured by the installation admin, the anonymized access Preview urls also remove the name/headers of the collection and the breadcrumbs that would indicate the collection hierarchy associated with the preview dataset. (Giving the dataset depositor access to a list of the withheld metadata fields will be tracked in another Feature Request.)

What kind of user is the feature intended for?
(Example users roles: API User, Curator, Depositor, Guest, Superuser, Sysadmin)
Feature is intended for Curator, Depositor - anyone who might want to use the anonymized version of the Preview URL.

What inspired the request?
Data curation group made the request while reviewing the newly implemented changes to Preview URL functionality.

What existing behavior do you want changed?

Any brand new behavior do you want to add to Dataverse?
Add more information to the documentation on what is withheld from the Preview URL user, specifically the Collection Name and Breadcrumbs (hierarchy)

Any open or closed issues related to this feature request?
#10950

Are you thinking about creating a pull request for this feature?
Help is always welcome, is this feature something you or your organization plan to implement?

[kmika11]

It might also be reasonable to include information here about obvious accidental ways a user might identify themselves when using this feature. There is some information already on the popup, but if more documentation is to be created, I would include it there too.

[sekmiller]

How about if we say something like - "Before distributing an anonymized Preview URL it is recommended that you view the dataset as a potential user to verify that the metadata available does not reveal authorship, etc. You must first log out of Dataverse then open the dataset via the anonymized Preview URL you plan to distribute. By logging out first, you will be able to view the dataset as it would be seen by the anonymized Preview URL user. It may be necessary for you to further edit your dataset's metadata to remove identifying items before you distribute the anonymized Preview URL."