Week 2: Bias, credibility, privacy, ethics, and access

1. Fill in the blank: A preference in favor of or against a person, group of people, or thing is called _____. It is an error in data analytics that can systematically skew results in a certain direction.

  • data collection
  • data interoperability
  • data bias
  • data anonymization

 

2. Which type of bias is the tendency to always construe ambiguous situations in a positive or negative way?

  • Observer
  • Confirmation
  • Sampling
  • Interpretation

3. Which of the following are qualities of unreliable data? Select all that apply.

  • Biased
  • Inaccurate
  • Vetted
  • Incomplete

4. Fill in the blank: Data _____ refers to well-founded standards of right and wrong that dictate how data is collected, shared, and used.

  • ethics
  • privacy
  • credibility
  • anonymization

5. Ownership is a key issue in data ethics. Who owns data?

  • The organization that invests time and money collecting, processing, and analyzing the data
  • The government that passes data-protection legislation
  • The individual who originally generates the data
  • The law enforcement agencies that enforce data protection laws

6. An employer accesses an employee’s credit report without their consent. This is not a violation of the employee’s privacy because they work at the company.

  • True
  • False

7. What is the process of protecting people’s private or sensitive data by eliminating identifying information?

  • Data governance
  • Data design
  • Data ethics
  • Data anonymization

8. A key aspect of open data is free access to people’s personal information.

  • True
  • False

9. A clinic surveys a group of male and female patients about their experience with physical therapy. The survey does not include people with disabilities. Is the survey data biased?

  • Yes
  • No

10. A university surveys its student-athletes about their experience in college sports. The survey only includes student-athletes with scholarships. What type of bias is this an example of?

  • Interpretation bias
  • Observer bias
  • Confirmation bias
  • Sampling bias

11. An individual who provides their data has the right to know and understand all of the data-processing activities and algorithms used on that data. This is called ownership.

  • True
  • False

12. The right to inspect, update, or correct your own data is part of which aspect of data ethics?

  • Data openness
  • Data ownership
  • Data consent
  • Data privacy

13. Interoperability is key to open data’s success. Which of the following is an example of interoperability?

  • A website charges a fee to access a database
  • An analyst removes all personally identifiable information from a database
  • Different databases use common formats and terminology
  • A company restricts the use of a database to its own employees

14. Which of the following situations are examples of bias? Select all that apply.

  • A researcher who surveys a sample group that is representative of the population
  • A scholar who only reads sources that support their argument
  • A dancing competition judge who is a close friend of the dancer who wins the competition
  • A daycare that won’t hire men for childcare positions

15. Which of the following “C’s” describe qualities of good data? Select all that apply.

  • Comprehensive
  • Cited
  • Current
  • Consequential

16. If a company uses your personal data as part of a financial transaction, you should be made aware of the nature and scale of the transaction. What concept of data ethics does this refer to?

  • Privacy
  • Currency
  • Ownership
  • Consent

17. Data anonymization applies to both text and images.

  • True
  • False

18. The government of a large city collects data on the quality of the city’s infrastructure. Any business, nonprofit organization, or person can access the government’s databases and re-use or redistribute the data. Is this an example of open data?

  • Yes
  • No

19. Which of the following are types of data bias often encountered in data analytics? Select all that apply.

  • Observer bias
  • Interpretation bias
  • Educational bias
  • Confirmation bias

20. In general, the usefulness of data decreases as time passes.

  • True
  • False

21. Ownership is a key issue in data ethics. Who owns data?

  • The law enforcement agencies that enforce data protection laws
  • The organization that invests time and money collecting, processing, and analyzing the data
  • The individual who originally generates the data
  • The government that passes data-protection legislation

22. Which of the following are commonly used methods for anonymizing data? Select all that apply.

  • Masking
  • Hashing
  • Deleting
  • Blanking

23. An individual who provides their data has the right to know and understand all of the data-processing activities and algorithms used on that data. This concept refers to which aspect of data ethics?

  • Currency
  • Consent
  • Ownership
  • Transaction transparency

24. In data ethics, consent gives an individual the right to know the answers to which of the following questions? Select all that apply.

  • How long will my data be stored?
  • Why am I being forced to share my data?
  • How will my data be used?
  • Why is my data being collected?

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