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Data Accuracy

Data Management

Data Controller Data Erasure Data Subject Data Quality

Quality property ensuring personal data is correct, current, and fit for intended purpose.

Definition

Accuracy requires processes to correct errors, update stale information, and validate inputs. Users may have rights to rectify inaccurate data in many regimes.

In plain English Quality property ensuring personal data is correct, current, and fit for intended purpose.

Why this matters

Why it matters: Inaccurate personal data can lead to unfair decisions and privacy harm.

Example

Example: Provide self-service correction, verification checks, and documented processes for rectification requests.