This lesson covers how to collect data responsibly for harassment and diversity metrics. It addresses privacy by design, anonymization, informed consent, and secure data handling practices.
Data Collection, Privacy, and Ethical Considerations
This lesson covers how to collect data responsibly for harassment and diversity metrics. It addresses privacy by design, anonymization, informed consent, and secure data handling practices.

Data Minimization and Privacy

Collect only what is necessary for measurement while respecting employee privacy. Limit access to sensitive data to authorized roles and use aggregate reporting where possible.

Anonymization and Pseudonymization

Apply anonymization or pseudonymization to protect individuals while preserving useful insights for analysis and trend identification.

Consent and Transparency

Communicate data practices clearly and obtain consent where required. Be transparent about how data informs improvements in policy and training.

Retention and Security

Define retention periods and secure storage. Implement access controls and regular reviews to prevent unauthorized use of data.

Course Content
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