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Ethics Throughout the Data Science Cycle | Data Science SSM Chapter 8 Study Guide, Concepts & Exam Solutions 2026

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Chapter 8 Ethics Throughout the Data Science Cycle Chapter Review [8.1, LO 8.1.2] 1. Which option best explains the significance of informed consent during the data collection phase? a. To ensure individuals are aware of the potential risks and benefits of the research b. To bypass legal regulations and guidelines c. To collect data without the knowledge of individuals d. To speed up the data collection process Solution: a. This is important because it allows individuals to make an informed decision about whether or not they want to participate in the study. Informed consent also ensures ethical principles such as respect for autonomy and beneficence are upheld. [8.1, LO 8.1.1] 3. Which of the following is an important ethical principle to consider during the data collection phase? a. Maximizing collected data b. Minimizing informed consent c. Ensuring secure storage and access protocols d. Avoiding compliance with regulations and guidelines Solution: c. Ensuring secure storage and access protocols is an important ethical principle during the data collection phase because it protects the privacy and confidentiality of participants. This includes having proper protocols in place to securely store data and limit access to only those who are authorized. [8.1, LO 8.1.3] 5. How can organizations mitigate the risk of data breaches during the development process? a. Have strong data security policies and protocols in place b. Respond to data breaches in a timely manner c. Only use publicly available data d. Share data with third parties without permission Solution: a. This is because having strict protocols for handling sensitive data can help prevent data breaches during the development process and ensure that all data is protected. This includes implementing measures such as encryption, regular data backups, access controls, and employee training on data security. [8.1, LO 8.1.3] 7. What type of data can be shared in a data science project? a. Quantitative and qualitative data only b. Tabular, text-based, and image-based data only c. Audio-based data only d. Quantitative, qualitative, tabular, text-based, and audio-based data Solution: d. In a data science project, any type of data that can be collected and processed can be shared as long as

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, Principles of Data Science



Chapter 8
Ethics Throughout the Data Science Cycle



Chapter Review
[8.1, LO 8.1.2]
1. Which option best explains the significance of informed consent during the data collection
phase?
a. To ensure individuals are aware of the potential risks and benefits of the research
b. To bypass legal regulations and guidelines
c. To collect data without the knowledge of individuals
d. To speed up the data collection process

Solution: a. This is important because it allows individuals to make an informed decision about
whether or not they want to participate in the study. Informed consent also ensures ethical
principles such as respect for autonomy and beneficence are upheld.

[8.1, LO 8.1.1]
3. Which of the following is an important ethical principle to consider during the data collection
phase?
a. Maximizing collected data
b. Minimizing informed consent
c. Ensuring secure storage and access protocols
d. Avoiding compliance with regulations and guidelines

Solution: c. Ensuring secure storage and access protocols is an important ethical principle
during the data collection phase because it protects the privacy and confidentiality of
participants. This includes having proper protocols in place to securely store data and limit
access to only those who are authorized.

[8.1, LO 8.1.3]
5. How can organizations mitigate the risk of data breaches during the development process?
a. Have strong data security policies and protocols in place
b. Respond to data breaches in a timely manner
c. Only use publicly available data
d. Share data with third parties without permission

Solution: a. This is because having strict protocols for handling sensitive data can help prevent
data breaches during the development process and ensure that all data is protected. This
includes implementing measures such as encryption, regular data backups, access controls, and
employee training on data security.



11/1/24 For more free, peer-reviewed, openly licensed resources visit OpenStax.org. 2

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