Dataset permissions

Datasets in Root Signals contain static information that can be included as context for skill execution. They can contain information about your organization, products, customers, etc. Datasets are linked to skills using reference variables.

Access to datasets is controlled through permissions. By default, when a user uploads a new dataset, it is set to 'unlisted' status. Unlisted datasets are only visible to the user who created them and to administrators in the organization. This allows users to work on datasets privately until they are ready to be shared with others.

To make a dataset available to other users in the organization, the dataset owner or an administrator needs to change the status to 'listed'. Listed datasets are visible to all users in the organization and can be used in skills by anyone.

Dataset permissions do not control skill execution privilege

Note that dataset permissions control whether a dataset can be used in skill creation or skill editing as a reference variable or as a test data set. Unless more specific permissions information is made available via enterprise integrations, dataset permissions do not control who can use the data set in skill execution. I.e. once dataset in fixed to a skill as a reference variable, anyone who has privileges to execute the skill will also have implicit access to the data set through the skill execution.

It is important for dataset owners and administrators to carefully consider the sensitivity and relevance of datasets before making them widely available. Datasets may contain confidential or proprietary information that should only be accessible to authorized users.

Contact Root Signals for more fine-grained controls in enterprise, regulated or governmental contexts.

In summary

The dataset permission system in Root Signals allows for granular control over who can access and use specific datasets. The unlisted/listed status toggle and the special privileges granted to administrators provide flexibility in managing data assets across the organization. Proper management of dataset permissions is crucial for ensuring data security and relevance in skill development and execution.