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Data Ethics

Ethical Use of Data

Data ethics is a set of moral principles and guidelines that govern the collection, analysis, use, and interpretation of data to ensure that it is used responsibly and ethically.
5 minutes 5 Questions

Data Ethics in the context of Big Data Science encompasses principles that guide responsible data collection, analysis, and application. It focuses on balancing technological innovation with human rights and dignity. Key components include: 1. Privacy Protection: Respecting individuals' right to …

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Big Data Scientist - Data Ethics Example Questions

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Question 1

What is geolocation data and why is it important in data ethics?

Correct Answer: Data that identifies the geographical location of a device or user, which can be used for a variety of purposes, including targeted advertising, fraud detection, and law enforcement activities

Geolocation data is data that identifies the geographical location of a device or user. It is important in data ethics because it can be used for a variety of purposes, including targeted advertising, fraud detection, and law enforcement activities. Geolocation data is often collected automatically by websites and apps, and it can be very sensitive, as it can reveal a great deal about a person's activities and whereabouts. This makes it important to ensure that geolocation data is collected and used in a responsible and ethical manner, with appropriate privacy protections in place.

Question 2

What is the principle of data minimization in data ethics?

Correct Answer: A requirement that organizations collect and process only the minimum amount of personal data necessary for a specific purpose

The principle of data minimization is an important aspect of data protection. It requires organizations to collect and process only the minimum amount of personal data necessary for a specific purpose. This helps to limit the impact of any data breaches or other security incidents, as well as protecting the privacy of individuals whose data is being processed. By limiting the amount of data collected, organizations can also reduce their exposure to regulatory risks and penalties.

Question 3

What is the difference between anonymity and pseudonymity?

Correct Answer: Anonymity means that a person's identity is unknown, while pseudonymity means that a person's identity is disguised or hidden behind a false name or other identifier.

Anonymity and pseudonymity are both ways of protecting someone's identity, but they work in different ways. Anonymity means that the person's identity is completely unknown, while pseudonymity means that the person's identity is hidden behind a false name or other identifier. Pseudonymity can make it more difficult to identify a person, but it does not provide complete anonymity because some information about the person's true identity is still known.

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