Chapter 2 — Data Handling Ethics
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Fresh conversion: rebuilt from the current Google Drive Chapter 2 package. No superseded GitHub chapter prose was used.
DMBOK source boundary: DAMA-DMBOK2 Revised, Chapter 2 — Data Handling Ethics, printed pp. 51–67. This package teaches the privacy-law material only to the level presented by Chapter 2; it is not legal advice or a current-law update.
Exam-weight discipline: Data Ethics is a 2% Fundamentals topic. The package is deliberately focused: learn the core ethical principles, recognize the six unethical-practice risk patterns, understand the operating model for ethical culture, and practice choosing the responsible best action.
Study path
- Guided Learning Guide
- Exam Map & High-Yield Targets
- Visual Memory Map / Framework Atlas
- Comparison & Battle Cards
- Scenario Lab
- Chapter Question Bank
- Teach-Back & Blank-Page Recall
Artifact 08 — Chapter Review / Error Repair — remains performance-driven and is created only after actual learner misses exist.
The chapter in one paragraph
Data handling is ethically consequential because data affects people, can be misused, and has economic value and ownership implications. Chapter 2 asks practitioners to go beyond “is it technically possible?” and “is it legal?” by applying Respect for Persons, Beneficence, Justice, and Respect for Law and Public Interest; recognizing recurring privacy-management principles; detecting misleading or harmful practices in timing, visualization, definitions/comparisons, bias, integration and obfuscation; and converting ethical intent into practices, controls, training, monitoring, safe escalation and Governance oversight.