+SI-19(05) Statistical Disclosure Control
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SI-19(05) Statistical Disclosure Control
Control
Manipulate numerical data, contingency tables, and statistical findings so that no individual or organization is identifiable in the results of the analysis.
Discussion
Many types of statistical analyses can result in the disclosure of information about individuals even if only summary information is provided. For example, if a school that publishes a monthly table with the number of minority students enrolled, reports that it has 10-19 such students in January, and subsequently reports that it has 20-29 such students in March, then it can be inferred that the student who enrolled in February was a minority.
Assessment Objective
- numerical data is manipulated so that no individual or organization is identifiable in the results of the analysis;
- contingency tables are manipulated so that no individual or organization is identifiable in the results of the analysis;
- statistical findings are manipulated so that no individual or organization is identifiable in the results of the analysis.
Assessment Method
Examine
System and information integrity policy
system and information integrity procedures
personally identifiable information processing policy
de-identification procedures
system configuration
de-identified datasets
statistical analysis report
tools for the control of statistical disclosure
system security plan
privacy plan
privacy impact assessment
privacy risk assessment documentation
other relevant documents or records
Interview
Organizational personnel responsible for de-identifying the dataset
organizational personnel with information security and privacy responsibilities
1. Panoramica
1.1 Riferimenti
1.2 Requisiti identificati
1.3 Regolamentazioni correlate
2. Requisiti identificati
Requisiti
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Requisito |
3. Regolamentazioni correlate
Regolamentazioni
| Fonte |
Regolamentazione |
Ticket collegati
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