Quiz 6 (Session 8)

What does 'archiving' refer to in the context of data management?

• Deleting old data

• Temporary storage of data

• Activity for long-term storage and preservation of data

• Encrypting data for security

Which of the following factors is not important when deciding what data to keep for long-term preservation?

• Data size

• Data format

• Data importance for future research

• Data storage cost

What is the primary goal of long-term data preservation?

• To delete unnecessary data

• To ensure data is stored securely

• To keep data accessible and usable over time

• To reduce data storage costs

Which of the following is a consideration for selecting data for long-term preservation?

• Data that is easy to delete

• Data that is only relevant to the current project

• Data that supports the research findings and conclusions

• Data that is unpopular among researchers

Which of the following is a best practice for ensuring data integrity during long-term preservation?

• Regularly delete old data

• Keep multiple copies of data in different formats

• Use complex encryption methods

• Store data in temporary locations

Which metadata standard is often used to ensure data reusability?

• JPEG

• XML

• Dublin Core

• HTML

What practice helps ensure the ethical reuse of shared data?

• Anonymizing sensitive data

• Sharing all collected data without restrictions

• Keeping data in proprietary formats

• Ignoring data usage licenses

Which of the following best describes FAIR data principles?

• Findable, Accessible, Interoperable, and Reusable

• Free, Accessible, Informative, and Reliable

• Flexible, Adaptable, Interconnected, and Robust

• Functional, Accurate, Integrated, and Reproducible

Why is it important to maintain multiple copies of preserved data in different locations?

• To increase data redundancy and storage costs

• To protect against data loss due to hardware failures or disasters

• To confuse potential data thieves

• To ensure data is always available on-demand

What should be considered when selecting a repository for data sharing?

• Repository's color scheme

• • Repository's data access policies

• Repository's location proximity to the research institution

• Repository's popularity on social media