The Review Dashboard supports the review of datasets submitted through Dataverse.
The review workflow consists of 4 main steps
Selection -> Details -> Feedback -> Publish / Return
Datasets move through these stages as reviewers assess the dataset, provide feedback and decide whether it is ready for publication.
Administrators can additionally assign reviews to other reviewers and take over reviews when necessary.
The Details screen provides access to:
Reviewers should inspect the dataset and verify that it meets the requirements of their repository before publication.
The review checklist contains the requirements that must be evaluated before publication.
Checklist items are grouped into categories and may be:
To enable the autochecks, click on the Run Autochecks button. All parameters that are automatically checked will be grayed out. The other parameters (the ones remaining with a white background) have not been checked.
The autocheck result is displayed:
You can apply autochecks by clicking on the Apply all autochecks button. This should be done only after a manual check of all parameters.
Autochecks can help identify potential issues in metadata or dataset files, but reviewers remain responsible for making the final review decision.
The Internal Notes section can be used to record observations during the review.
The internal notes are not shared with the dataset creators, but are shared with the helpdesk when ask for support is clicked. They also persist between reviewers and reviews.
If additional support is required:
This action adds a support flag to the dataset and notifies the configured support contacts.
After completing the checklist, proceed to the Feedback screen.
The summary contains:
Issues displayed in the summary correspond to checklist items that have not been marked as completed.
A feedback email is automatically generated using:
The generated feedback can be reviewed and edited before it is sent.
Reviewers are encouraged to add additional guidance where helpful.
If checklist items are modified after feedback has already been generated, the reviewer must select Generate from Checklist to regenerate the feedback email. This action replaces the previously generated version.
The final step is deciding whether the dataset is ready for publication.
If the dataset satisfies the repository’s review requirements:
Depending on the dataset version, one of the following release options may be available:
If the dataset is previously not released it will be released as 1.0.
If issues remain:
The contributor will receive the feedback email and can revise the dataset before resubmitting it for review.
Reviewers are responsible for:
Administrators have all reviewer capabilities and may additionally: