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.

  1. Protecting Individuals: Ethical guidelines aim to protect the rights, privacy and well-being of those involved in research or data collection activities.
  2. 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.
  3. 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.
  4. Promoting Fairness: Ethical guidelines strive to eliminate bias and discrimination, guaranteeing equal treatment and representation for all individuals or groups.
  5. 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:

  1. Data Quality: Ensuring data is accurate, consistent, and reliable in order to enhance decision-making and analytics; and
  2. Security Data Security: Protecting data from unauthorized access or breaches while adhering to data protection laws and regulations.
  3. Data Accessibility: Making information easily available when required for authorized users within an organization to create data-driven insights across it all.
  4. Data Compliance: Ensuring data practices align with legal, ethical and regulatory requirements while mitigating any potential legal risks.
  5. Data Accountability: Establishing clear roles and responsibilities for data management while assuring accountability for actions related to data.
  6. Data Integration and Harmonization: When data from different sources are combined and harmonized for analysis and understanding by an organization.
  7. 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.

 

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