Which statement best balances open data with protecting sensitive information in assessment administration?

Which statement best balances open data with protecting sensitive information in assessment administration?

• A. Publish only non-sensitive data without redaction.
• B. Publish all data including PII.
• C. Publish only non-sensitive data without redaction.
• D. Publish public, non-sensitive data; provide redacted or aggregated information when necessary; restrict access to PII.

Answer: (D)

Balancing openness with privacy is the key idea here. Open data should be useful and transparent about how assessment administration works, but personal information must be protected. The best approach is to publish public, non-sensitive data so stakeholders can see trends and results, while providing redacted or aggregated information when details could reveal individuals. Restricting access to information that falls under PII ensures that only authorized people with proper safeguards can view sensitive data. Redaction removes direct identifiers like names or addresses, and aggregation groups data so individuals can’t be identified in small groups. This combination maximizes transparency and accountability while respecting privacy and legal protections. The other options either expose identifying details, ignore safeguards, or assume data is always non-sensitive, which increases privacy risk and limits legitimate use.

Balancing openness with privacy is the key idea here. Open data should be useful and transparent about how assessment administration works, but personal information must be protected. The best approach is to publish public, non-sensitive data so stakeholders can see trends and results, while providing redacted or aggregated information when details could reveal individuals. Restricting access to information that falls under PII ensures that only authorized people with proper safeguards can view sensitive data. Redaction removes direct identifiers like names or addresses, and aggregation groups data so individuals can’t be identified in small groups. This combination maximizes transparency and accountability while respecting privacy and legal protections. The other options either expose identifying details, ignore safeguards, or assume data is always non-sensitive, which increases privacy risk and limits legitimate use.