disclosure-check

To check data analysis outputs for statistical disclosure limitations, you scan tables, figures, and logs for small cell counts, dominance, and PII leakage. This process flags findings as CRITICAL or WARNING to prevent sensitive information release.

Disclosure screening looks for small cell counts, dominance, re-identifiable exact counts, PII leakage, and unrounded sensitive statistics. It classifies each potential statistical disclosure limitation issue found in analysis outputs as CRITICAL, WARNING, or OK.

To run a disclosure check, execute the skill with your specific outputs directory, data provider, and threshold parameters. The data must be organized in a specific directory format and screened using predefined rule profiles.

Yes, you need to format your data in a specific directory structure to screen for PII leakage. The disclosure avoidance process applies predefined rule profiles based on the data provider to accurately flag sensitive information.

Yes, you can use predefined rule profiles for different data providers during disclosure avoidance. The screening process applies these specific provider rules to flag statistical disclosure limitations and prevent unscreened data release.

A limitation of automated disclosure avoidance is that it requires data to be in a specific directory format and uses predefined rule profiles. It flags potential PII leakage and statistical issues but requires proper threshold configuration to ensure compliance.