CSV Validation Reports Should Omit Raw Data to Protect User Privacy

A software developer argues that CSV quality reports should not echo the rejected values they flag, particularly when those reports may be shared with teammates or attached to issue trackers. Instead of repeating sensitive data like email addresses or customer IDs, a report can convey just the row location, column name, and a stable error code such as 'type_mismatch' or 'duplicate_value'. For audit purposes, SHA-256 hashes of the input and rule files can confirm that two parties validated identical data without exposing the underlying content. The developer built a small CLI tool called DataProof CSV around this principle, which outputs both a human-readable HTML report and machine-readable results, returning exit codes 0, 1, or 2 to indicate pass, violation, or run failure respectively. The core takeaway is that when a validation report may travel beyond its original context, it should carry only the minimum information needed to fix the problem.