We built SherlockML to make data science projects more collaborative, while keeping data secure, code version controlled and results easy to report. At the heart of this is inviting other people to be part of your project team.
Adding a collaborator¶
Add someone to a project by going to the Collaborators page and typing in their SherlockML username or their email address. If that person is not already a SherlockML member they will receive an email inviting them to sign up.
Each collaborator is assigned a role that determines their permissions.
- Access to all features and permissions, including administration of the project and the team.
- Data scientist
- Access to all features, except administration of the team and project.
- Data provider
- Access to datasets, with permission only to upload data to the project.
- Access to reports, with permission only to see reports and their version history.
Admins and data scientists have a workspace that is shared. They can create and terminate servers, and servers are entire private to each team member.