Data Ethics and Governance

Data Ethics and Governce

1 Introduction to Data Ethics: Understanding the ethical implications of data usage in the digital age

2 The Role of Big Data in Society: How big data influences decision-making, policy, and daily life

3 Principles of Ethical Data Collection: Best practices for gathering data transparently and responsibly

4 Privacy and Security in Data Governance: Ensuring the protection of personal data and preventing misuse

5 Transparency in Data Use: The importance of making data practices clear to users and stakeholders

6 Accountability in Data Practices: How organizations can be held accountable for their data usage and governance

7 Bias and Fairness in Big Data: Identifying and addressing biases in data collection and analysis

8 Building Trust Through Ethical Data Practices: Strategies for companies to gain and maintain trust

9 Data Sovereignty and Ownership: Understanding who owns the data and how it should be protected across borders

10 Regulatory Frameworks and the Future of Data Ethics: Exploring global data regulations and future trends

11 Ethical Implications of Emerging Technologies: Addressing ethical challenges posed by AI and other technologies

12 Consumer Expectations and Ethical Data Use: Balancing business interests with consumer privacy rights

13 Ethical Data Practices in Business Models: Developing business models that prioritize ethical data use

14 Course Review and Future Directions: Recap of key concepts and discussion on the evolving landscape of data ethics

15 Review, quizzes and midterm

1.1 Mapped to: K1

Understand the ethical principles and laws governing data usage.

Teaching Strategy Lectures Cooperative learning Problem solving

Assessment Methods Online Quizzes Midterm Final Exam

1.2 Mapped to: K1

Recognize the importance of governance in managing data and ensuring compliance.

Teaching Strategy Lectures Cooperative learning Problem solving

2.1 Mapped to: S1

Apply ethical guidelines to practical cases.

Teaching Strategy Lectures Cooperative learning Problem solving

Assessment Methods Online Quizzes Midterm Final Exam

2.2 Mapped to: S2

Analyze and evaluate data governance policies.

Teaching Strategy Lectures Cooperative learning Problem solving

3.1 Mapped to: V1

Commit to professional ethics in data handling.

Teaching Strategy Lectures

Assessment Methods Online Quizzes Midterm Final Exam

3.2 Mapped to: V2

Promote transparency and accountability in data management.

Teaching Strategy Lectures

Welcome