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60-Second Rapid Recall

Answer aloud or on paper before checking the key.

  1. R1 Define Data Handling Ethics and name the lifecycle activities it reaches. (pp. 51–53)
  2. R2 Name the three core concerns. (p. 51)
  3. R3 Why can Data Quality be an ethical responsibility even with strong security? (pp. 51–53)
  4. R4 Give two business reasons to care about ethical handling beyond fines. (p. 53)
  5. R5 State the three Belmont principles and the clue for each: autonomy/dignity, harm/benefit, equitable treatment. (p. 54)
  6. R6 What fourth principle does Menlo add? (p. 54)
  7. R7 Name the four EDPS pillars summarized by Chapter 2. (p. 55)
  8. R8 In one sentence, what ethical job does Data Governance perform? (pp. 55, 67)
  9. R9 Name at least five recurring privacy-management themes across OECD/GDPR/PIPEDA/FTC. (pp. 55–58)
  10. R10 Name the seven GDPR principles in Table 1 at recognition level. (p. 56)
  11. R11 What qualities should consent have when used as the basis? Name at least three qualified rights discussed. (p. 56)
  12. R12 Name the four online-data ethics topics. (pp. 58–59)
  13. R13 Name the six major unethical-practice risk areas. (pp. 59–63)
  14. R14 Name the five bias patterns in §3.4.4. (pp. 60–61)
  15. R15 Why are provenance/lineage, Metadata, Data Quality and change history ethical concerns during integration? (pp. 61–62)
  16. R16 Why does removing direct identifiers not automatically make data ethically safe? (pp. 62–63)
  17. R17 What makes an ethical culture operational? Name at least five mechanisms. (pp. 63–67)
  18. R18 Name the four ethical-risk checkpoints and distinguish Governance, Legal and practitioner responsibility. (pp. 65–67)

Do not judge confidence. Score what you actually retrieved.

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