Data Use Limitation is the privacy principle that personal data collected for a specific, documented purpose must not be used for any incompatible purpose without additional legal justification or explicit consent. It establishes a defined scope of permissible use; any deviation from that scope violates the data subject's reasonable expectations and, in most major jurisdictions, the law. It is not a blanket prohibition on secondary uses—it is a governance requirement to assess, document, and control those uses before they occur. Organizations implement data use limitation through purpose registries, compatibility assessments, and technical access controls that bind data to its declared purpose throughout the data lifecycle.
Where it stops · what it isn't
- —IS: A governance principle requiring that data processing remain within the bounds of the original documented collection purpose, or a demonstrably compatible secondary purpose with an appropriate legal basis
- —IS: Applicable primarily to personal and sensitive data under GDPR (Article 5(1)(b)), CCPA, LGPD, PDPA, and equivalent regulations—though best practice extends the principle to all organizational data
- —IS NOT: A total prohibition on secondary data use—GDPR explicitly permits compatible further processing when assessed via a structured compatibility test and adequate safeguards are in place
- —IS NOT: The same as data minimization (which limits volume collected) or data retention limitation (which limits storage duration)—though all three are interdependent lifecycle controls
- —IS NOT: Automatically satisfied by a privacy policy disclosure alone—disclosure is necessary but not sufficient; processing must also be technically restricted to the stated purpose
- —IS NOT: Exclusively a legal compliance task—it is equally a data governance and data architecture responsibility spanning legal, IT, operations, and business teams
Connected concepts in the graph
Every cubelet sits in a knowledge graph. Here's what this one connects to.
PART OFData Purpose (CDPSE Data Lifecycle domain)
REQUIRESData Inventory and ClassificationPurpose Mapping Register
ENABLESCompatible Further Processing AssessmentCompliant Secondary Analytics and AI/ML Use Cases
RELATED TOData MinimizationData Retention Limitation
CONSTRAINSMarketing Analytics and Customer ProfilingAI/ML Model Training on Historical DataCross-Departmental Data Sharing