The second edition opens with data handling ethics: the principles behind ethical data handling (respect for persons, beneficence, justice, from the Belmont principles), the legal context set by privacy law such as GDPR and by discrimination law, the risks of unethical practice (timing manipulation, misleading visualizations, unfair sampling, biased profiling), the ethical use of data in analytics and data science, and the requirement that data governance establish an ethical culture, a code of ethics and a means for staff to raise concerns; the framework outline placed ethics inside the governance chapter and the published edition gave it its own chapter.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.