Privacy by Design: Data Sharing

Introduction

• Privacy and data sharing
• What you should know about this course

1. Data Sharing

• How data sharing works
• How data sharing can go wrong

2. No Data for You: Is Data Sharing Always Riddled with Risk?

• Valid reasons for data sharing
• When data sharing should raise red flags
• Techniques to minimize privacy risk

3. Common Misconceptions on Data Sharing

• Why can't we share anonymized data?
• Encryption and data sharing

4. K-Anonymity and Data Sharing

• What is k-anonymity?
• K-anonymity: A use case
• K-anonymity: Very coarse data
• K-anonymity: Very granular data
• K-anonymity: Industry best practice

5. L-Diversity

• How l-diversity helps privacy
• K-anonymity versus l-diversity
• Challenge
• Solution

6. Operationalizing Privacy Data Sharing Techniques

• Identifying and rectifying risk
• Privacy impact assessments
• Technical privacy consulting
• Challenge
• Solution

7. The Challenge of Privacy: Your Digital Fingerprint

• Data governance, why it matters
• Your physical fingerprint
• Your digital fingerprint
• The power of joining outside data

8. Conclusion

• Next steps