Google Data Analytics Professional Certification Practice Test

Openness in data ethics refers to:

1. Transparency in data processing.

2. Secrecy about data-sharing practices.

3. Ignoring data management policies.

4. Restricting access to data.

The correct answer is: Transparency in data processing.

Openness in data ethics fundamentally revolves around the principle of transparency in how data is processed, shared, and utilized. This encompasses providing clear information to individuals about how their data is being used, what data is collected, and the purposes behind data processing activities. It fosters trust between data holders and users, ensuring that people are informed about their data rights and the ethical implications of data use. By prioritizing transparency, organizations can demonstrate accountability in their data practices, allowing stakeholders to make informed decisions about their interactions with data. This openness is crucial for building trust and credibility, especially in an era where data privacy concerns are increasingly prominent. In contrast, secrecy about data-sharing practices, ignoring data management policies, and restricting access to data do not align with the principles of openness. These approaches can lead to distrust and potential misuse of data, undermining ethical standards in data practices. Thus, understanding the importance of openness in data ethics is essential for responsible and ethical data governance.