Data Ethics

Front

What are the four core questions in the short version of the data biography?

Back

1. Who collected the data? 2. How was the data collected? 3. How was the data analyzed? 4. Where is the data stored?

Front

What is confirmation bias in the context of data science?

Back

Confirmation bias is the tendency to search for, interpret, and remember information in a way that confirms one's preconceptions, leading to statistical errors.

Front

What is data minimization?

Back

Data minimization is a principle of data privacy that focuses on collecting the least amount of personal data necessary for the intended purpose.

Front

What is an unbiased question?

Back

An unbiased question is one that does not lead the respondent to a particular answer and allows for a range of responses.

Front

What are the key elements of Responsible Data?

Back

1. Compliance with legal regulations 2. Ethical considerations 3. Data security 4. Responsible data sharing.

Front

What is the purpose of data encryption?

Back

Data encryption is the process of converting data into a coded format to prevent unauthorized access.

Front

What is data anonymization?

Back

Data anonymization is the process of removing personally identifiable information from data sets, so individuals cannot be readily identified.

Front

What is the significance of data security?

Back

Data security involves protecting data from unauthorized access and data breaches, ensuring confidentiality, integrity, and availability.

Front

What is the role of ethics in data science?

Back

Ethics in data science involves ensuring that data is collected, analyzed, and shared responsibly, respecting individuals' rights and privacy.

Front

What is the data science life cycle?

Back

The data science life cycle includes phases such as Ask Questions, Consider Data, Analyze Data, Interpret Data, and Communicate Results.