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Computer Science
Data Science
Data Privacy
1. Introduction to Data Privacy
2. Foundational Principles of Data Privacy
3. Legal and Regulatory Frameworks
4. Technical Mechanisms for Privacy Protection
5. Data Privacy Governance and Management
6. Data Privacy in Data Science and Machine Learning
7. Emerging Topics and Future Challenges
Foundational Principles of Data Privacy
Fair Information Practice Principles (FIPPs)
Collection Limitation
Data Minimization
Necessity Assessment
Proportionality Testing
Alternative Methods Consideration
Lawful and Fair Collection
Legal Basis Requirements
Fairness Assessment
Transparency in Collection
Data Quality
Accuracy
Data Verification Methods
Error Correction Processes
Quality Assurance Measures
Relevance
Purpose Alignment
Data Utility Assessment
Irrelevant Data Identification
Timeliness
Data Currency Requirements
Update Procedures
Obsolete Data Management
Purpose Specification
Stating Purposes at Collection
Clear Purpose Definition
Specific vs. General Purposes
Purpose Communication Methods
Limiting Use to Stated Purposes
Purpose Compatibility Assessment
Secondary Use Restrictions
Purpose Change Procedures
Use Limitation
Restrictions on Data Sharing
Internal Use Controls
Third-Party Sharing Limits
Consent Requirements
Exceptions and Legal Requirements
Legal Disclosure Obligations
Emergency Situations
Public Interest Exceptions
Security Safeguards
Technical Measures
Encryption Implementation
Access Control Systems
Network Security
Data Loss Prevention
Organizational Measures
Security Policies
Staff Training
Incident Response
Vendor Management
Openness
Transparency in Practices
Practice Documentation
Public Disclosure
Stakeholder Communication
Publicly Available Policies
Privacy Notice Requirements
Policy Accessibility
Regular Updates
Individual Participation
Access to Personal Data
Data Subject Access Rights
Access Request Procedures
Information Provision Requirements
Correction and Deletion Rights
Data Rectification
Erasure Rights
Objection Rights
Accountability
Assigning Responsibility
Role Definition
Authority Delegation
Reporting Structures
Demonstrating Compliance
Documentation Requirements
Audit Procedures
Compliance Monitoring
Privacy by Design (PbD)
Proactive not Reactive; Preventative not Remedial
Anticipatory Measures
Risk Prevention
Early Integration
Privacy as the Default Setting
Default Privacy Settings
Opt-in vs. Opt-out
Maximum Privacy Protection
Privacy Embedded into Design
System Architecture Integration
Process Design Considerations
Technology Selection
Full Functionality (Positive-Sum, not Zero-Sum)
Balancing Privacy and Functionality
Innovation Enablement
User Experience Optimization
End-to-End Security
Comprehensive Protection
Lifecycle Security
Data Flow Security
Visibility and Transparency
System Transparency
Process Visibility
Stakeholder Communication
Respect for User Privacy
User-Centric Design
Privacy Preferences
Control Mechanisms
Privacy by Default
Default Settings and User Choices
Privacy-Protective Defaults
User Control Options
Choice Architecture
Minimizing Data Collection by Default
Essential Data Only
Progressive Data Collection
Purpose-Driven Collection
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1. Introduction to Data Privacy
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3. Legal and Regulatory Frameworks