Ethics in Data Science Class 9 Questions and Answer
Objective Type Questions
1. We need policies to discourage unethical use of data
a) Yes
b) No
Answer- a) Yes
2. You take some data for research from few users, Is it ethical to share the results back to the participants
a) Yes
b) No
Answer- a) Yes
3. Is it ethical to let your preconception or opinions interferes in the data collection process?
a) Yes
b) No
Answer- b) No
4. Can you lie about the data collected and show the results in your favor?
a) Yes
b) No
Answer- b) No
5. Should shared private information be treated confidentially?
a) Yes
b) No
Answer- a) Yes
Ethics in Data Science Class 9 Questions and Answer
6. For assuring people to give data for your analysis, is it a good practice to let people who you are
a) Yes
b) No
Answer- a) Yes
7. Data governance helps in which of the following
a) Cleaner data
b) Better data
c) Leaner data
d) All of the above
Answer- d) All of the above
8. Data governance helps to prevent errors and misuse of the data
a) Yes
b) No
Answer- a) Yes
Ethics in Data Science Class 9 Questions and Answer
Standard Questions
1. Explain the goals of ethical guidelines.
Ethical Guidelines’ Goals:
Ethical guidelines serve various key purposes.
- Protecting Individuals: Ethical guidelines aim to protect the rights, privacy and well-being of those involved in research or data collection activities.
- Protecting Organizations: They ensure research or data collection activities meet ethical requirements that protect both people involved as well as organizations participating. Integrity: Ethical guidelines serve to maintain the credibility and reliability of research by encouraging honesty and transparency.
- Preventing Harm: Research practices should aim to minimize any potential harm done during data collection or research activities that might impact individuals, society or the environment.
- Promoting Fairness: Ethical guidelines strive to eliminate bias and discrimination, guaranteeing equal treatment and representation for all individuals or groups.
- Establishing Standards: They serve as a set of principles and norms researchers, data analysts and organizations should follow to uphold ethical conduct in their practices.
2. Describe the goals of data governance.
Goals of Data Governance:
Data governance is a comprehensive approach to effectively and responsibly using and managing data, with its goals including:
- Data Quality: Ensuring data is accurate, consistent, and reliable in order to enhance decision-making and analytics; and
- Security Data Security: Protecting data from unauthorized access or breaches while adhering to data protection laws and regulations.
- Data Accessibility: Making information easily available when required for authorized users within an organization to create data-driven insights across it all.
- Data Compliance: Ensuring data practices align with legal, ethical and regulatory requirements while mitigating any potential legal risks.
- Data Accountability: Establishing clear roles and responsibilities for data management while assuring accountability for actions related to data.
- Data Integration and Harmonization: When data from different sources are combined and harmonized for analysis and understanding by an organization.
- Data Ethics: By including ethical considerations into data practices to protect privacy, prevent discrimination and uphold public trust, organizations can ensure effective data practices which promote integrity.