Add collaborators to a dataset

Go to Settings -> Collaborators to add collaborators to your dataset.

Permissions

Collaborators can have one of 4 roles: viewer, labeler, reviewer, manager and administrator. Each role has a different set of permissions:

	Viewer	Labeler	Reviewer	Manager	Administrator
View samples
Label samples
Review samples
Delete and resolve issues
Add, update, delete collaborators
Edit sample priority and assigned labeler/reviewer
Add and delete samples
View, add, delete releases
Manage settings

Viewers can only open a sample in read-only mode with all editing actions disabled, except the creation of issues. On the dataset level, they can see the "Overview", "Samples" and "Issues" tabs.

Labelers and reviewers can only see the "Overview" tab of a dataset, where they can click the "Start labeling" and "Start reviewing" buttons depending on their role. Note that they cannot browse the samples on the Samples tab.

Managers and administrators can add collaborators to a dataset. Note that a manager cannot add a collaborator with an administrator role.

Adding collaborators programmatically

You can also add collaborators to a dataset using the Python SDK.