What is the primary objective of "data anonymization" in data ethics and privacy?
A. To increase data accessibility
B. To protect sensitive information
C. To improve data quality
D. To reduce data volume
In data science, what does "consent withdrawal" mean in the context of data collection?
A. Collecting data without permission
B. Allowing data to be shared
C. Revoking permission to collect data
D. Ignoring data preferences
What is the primary purpose of "data encryption" in data ethics and privacy?
A. To increase data accessibility
B. To protect data during transmission
C. To improve data quality
D. To simplify data analysis
Which term refers to the practice of removing personally identifiable information from data while retaining its utility?
A. Data masking
B. Data aggregation
C. Data obfuscation
D. Data compartmentalization
What ethical principle emphasizes the importance of providing clear and understandable information about data practices to individuals?
A. Transparency
B. Accountability
C. Fairness
D. Confidentiality
What is the primary purpose of a "privacy policy" in data science and data ethics?
A. To restrict data sharing
B. To outline how data will be used
C. To gather more data
D. To improve data accuracy
What is the term for the practice of hiding sensitive data while still providing access to useful information in data ethics?
A. Data sharing
B. Data masking
C. Data protection
D. Data encryption
In data ethics and privacy, what does "data minimization" mean?
A. Collecting as much data as possible
B. Collecting only necessary data
C. Collecting data secretly
D. Deleting all collected data
What does "de-identification" refer to in data privacy and ethics?
A. Identifying data sources
B. Anonymizing data sources
C. Removing data sources
D. Tracking data sources
What ethical principle emphasizes the importance of holding individuals and organizations accountable for their data practices?
A. Transparency
B. Accountability
C. Fairness
D. Confidentiality
What is the term for the practice of using statistical methods to transform data so that it cannot be traced back to individuals?
A. Data aggregation
B. Data encryption
C. Data masking
D. Data redaction
In data ethics, what is the primary concern related to "data bias"?
A. Data accuracy and reliability
B. Data collection methods
C. Data privacy and security
D. Data representativeness
What is the main purpose of a "data protection impact assessment" (DPIA) in data ethics and privacy?
A. To identify potential risks to data
B. To anonymize all collected data
C. To optimize data processing
D. To enhance data visualization
Which ethical principle emphasizes the importance of treating individuals fairly and without discrimination in data science?
A. Transparency
B. Accountability
C. Fairness
D. Confidentiality
What does the concept of "data ownership" entail in data ethics?
A. Users have full control over their data
B. Data belongs to data scientists
C. Data should remain public
D. Data can be used without permission
What does the term "data privacy" refer to in the context of data science?
A. Protecting data from cyberattacks
B. Safeguarding personal information
C. Ensuring data accuracy
D. Data analysis techniques
What is the primary goal of data anonymization in data ethics?
A. To increase data accessibility
B. To protect sensitive information
C. To improve data quality
D. To reduce computational complexity
In data science, what is "informed consent" with regard to data collection?
A. Collecting data without permission
B. Obtaining user consent to collect data
C. Gathering data secretly
D. Ignoring user preferences
What is the main concern addressed by GDPR (General Data Protection Regulation) in data privacy?
A. Ensuring data accuracy
B. Protecting data from theft
C. Protecting individuals' rights
D. Regulating data usage
What does the acronym "PII" stand for in data ethics and privacy?
A. Personal Identity Information
B. Private Information Items
C. Public Information Index
D. Protected Identity Identifier
