2.3 Data ethics and privacy

What are data ethics?

A. Approved strategies data professionals use to safeguard the privacy and security of a dataset

B. Well-founded standards of right and wrong that dictate how data is collected, shared, and used

C. Established methods for ensuring data is clean, well-organized, and appropriate for a project

D. Long-standing techniques for confirming that data is always used to benefit society

B. Well-founded standards of right and wrong that dictate how data is collected, shared, and used

What concept states that all data-processing activities and algorithms should be completely explainable and understood by the individual who provides their data?

A. Ownership

B. Transaction transparency

C. Privacy

D. Currency

B. Transaction transparency

A data analyst removes personally identifying information from a dataset. What task are they performing?

A. Data anonymization

B. Data sorting

C. Data collection

D. Data visualization

A. Data anonymization

Before completing a survey, an individual acknowledges reading information about how and why the data they provide will be used. What is this concept called?

A. Privacy

B. Consent

C. Currency

D. Discretion

B. Consent