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Guided-Learning Retrieval Checklist

Try each from memory before reopening the teaching pages.

Core recall

  1. Define Data Handling Ethics broadly enough to include obtainment/procurement, storage, management, interpretation/analysis/application, use/sharing and disposal.
  2. Name the three central ethical concerns: people impact, misuse, economic value/ownership.
  3. State the Belmont-derived principles and the Menlo addition.
  4. Explain why “legal” is not automatically “ethical.”
  5. Explain why Data Quality can become an ethical duty.
  6. Distinguish privacy from the broader Data Ethics frame.

Privacy / online recall

  1. Name the seven GDPR principles as presented in Chapter 2.
  2. Describe valid consent qualities at recognition level.
  3. Name at least three qualified individual rights discussed.
  4. Name the four online-data ethics topics: ownership, Right to be Forgotten, identity, freedom of speech online.

Unethical-practice recall

  1. List all six risk areas in §3.4.
  2. Distinguish Timing from Misleading Visualization from Invalid Comparison.
  3. List the five bias patterns.
  4. Explain why technically successful integration can still be ethically untrustworthy.
  5. Explain why obfuscation/anonymization does not guarantee safety.

Operating-model recall

  1. Reconstruct Principle → Risk → Practice → Control and create an example.
  2. State the first culture-improvement step.
  3. Describe the components of an ethical strategy/roadmap.
  4. Name the four personal-data ethical-risk checkpoints.
  5. Distinguish Governance, legal counsel and practitioner responsibility.

Readiness standard for this 2% chapter

You are ready enough when you can:

  • recognize the ethical principles quickly;
  • classify the six risk patterns;
  • explain legal-vs-ethical and privacy-vs-ethics distinctions;
  • identify Principle/Risk/Practice/Control correctly;
  • choose the more responsible best action in a short scenario without overcomplicating the question.

Source map

Topic DMBOK Chapter 2
Definition, three concerns, context pp. 51–53
Business drivers p. 53
Belmont / Menlo / EDPS pp. 54–55
OECD / GDPR / PIPEDA / FTC pp. 55–58
Online-data issues pp. 58–59
Six unethical-practice risks pp. 59–63
Current-state review; principle-risk-practice-control pp. 63–64
Ethical strategy / roadmap pp. 64–65
Ethical-risk model pp. 65–67
Data Ethics & Governance p. 67

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