Feature Request/Idea: Customize the list of default file categories

[abujeda]

Overview of the Feature Request
At the moment, the default list of file categories is hardcoded to "Documentation", "Data" and "Code". This is then used as the default set of values for the file tags UI.

Allow this values to be loaded from a configuration file so that sysadmins can customize the list.

What kind of user is the feature intended for?
Configuration of the values for sysadmin
The use of file tags for all users

What inspired the request?
As part of the Harvard Data Commons project there is a requirement to add Workflow as a file tag that will appear in the UI for all users.

What existing behavior do you want changed?
How these default values are configured in the Dataverse system.

Any brand new behavior do you want to add to Dataverse?
No

Any related open or closed issues to this feature request?
No AFAIK

[abujeda]

This feature is a requirement for the Havard Data Commons project, Objective 2.

We are working on a possible solution and will discuss the approach within this issue.

[qqmyers]

These are not currently Dataset categories, only file categories. At the dataset level, there are citation metadatablock entries for subject (controlled list) and kindofdata (open) that already categorize the data. Is the intent here to make another dataset-level metadata item?

[abujeda]

Sorry, I called them Dataset categories as the Dataset object is responsible to generate them.

The intent is to update the default set of file categories.
Will update the description to reflect that these are file categories as mentioned above.

[abujeda]

Had a discussion with @qqmyers about this issue and he suggested the use of the Settings feature.
We could store a :FileCategories setting to override the default set of file category values.

[abujeda]

Created a branch to start sharing a proposal implementation:
https://github.com/adaybujeda/dataverse/commits/8461-datafilecategory-configuration

[abujeda]

PR created to start a discussion with the Dataverse team:
#8478