How do you model data ownership and access controls in Clarity?

How do you model data ownership and access controls in Clarity?

• A. Assign access on a per-table basis only.
• B. Define data owners, roles, access control lists, and attribute-level security; enforce via RBAC and data stewardship processes.
• C. Store ownership in application layer only.
• D. Ignore data governance.

Answer: (B)

Modeling data ownership and access controls means capturing who is responsible for data, who can access it, and exactly what they can do with it, at a granular level. The strongest approach defines data owners or data stewards, sets up roles that group permissions, and attaches precise access control lists and attribute-level security to data objects. This combination lets you enforce permissions consistently through RBAC, while governance processes ensure approvals, reviews, and auditing are ongoing. Data owners establish accountability for data quality and access decisions. Roles provide a scalable way to grant permissions to groups of users rather than individuals. Access control lists specify who can read, write, or modify particular data assets, and attribute-level security protects sensitive fields by restricting exposure even when a user has broader data access. Enforcing these policies through RBAC and formal data stewardship ensures security is centralized, auditable, and maintained over time. Restricting access only at the table level misses finer-grained controls and governance. Placing ownership solely in the application layer tends to fragment governance across apps. Ignoring governance completely undermines accountability and security.

Modeling data ownership and access controls means capturing who is responsible for data, who can access it, and exactly what they can do with it, at a granular level. The strongest approach defines data owners or data stewards, sets up roles that group permissions, and attaches precise access control lists and attribute-level security to data objects. This combination lets you enforce permissions consistently through RBAC, while governance processes ensure approvals, reviews, and auditing are ongoing.

Data owners establish accountability for data quality and access decisions. Roles provide a scalable way to grant permissions to groups of users rather than individuals. Access control lists specify who can read, write, or modify particular data assets, and attribute-level security protects sensitive fields by restricting exposure even when a user has broader data access. Enforcing these policies through RBAC and formal data stewardship ensures security is centralized, auditable, and maintained over time.

Restricting access only at the table level misses finer-grained controls and governance. Placing ownership solely in the application layer tends to fragment governance across apps. Ignoring governance completely undermines accountability and security.