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How to fill out nsf-specific data management plan

How to fill out nsf-specific data management plan

1. Consult the specific data management plan requirements outlined in the NSF proposal guidelines
2. Provide a clear description of how data will be collected, managed, and shared throughout the duration of the project
3. Specify the file formats and standards that will be used for data documentation and metadata
4. Outline the policies for data storage, backup, and preservation
5. Describe the mechanisms for data sharing and access, including any restrictions or limitations
6. Include a plan for addressing data security and privacy concerns
7. Detail the roles and responsibilities of project team members in relation to data management

Who needs nsf-specific data management plan?

1. Researchers applying for NSF funding
2. Principal Investigators leading NSF-funded projects
3. Institutions receiving NSF grants for research projects

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What is nsf-specific data management plan?

NSF-specific data management plan is a detailed document outlining how research data will be handled during and after a research project funded by the National Science Foundation (NSF).

Who is required to file nsf-specific data management plan?

Principal Investigators (PIs) and co-PIs who are leading NSF-funded research projects are required to file an NSF-specific data management plan.

How to fill out nsf-specific data management plan?

To fill out an NSF-specific data management plan, PIs and co-PIs must follow the guidelines provided by the NSF and include specific information about how research data will be collected, stored, and shared.

What is the purpose of nsf-specific data management plan?

The purpose of an NSF-specific data management plan is to ensure that research data is handled ethically, responsibly, and securely throughout the entire research project and beyond.

What information must be reported on nsf-specific data management plan?

Information that must be reported on an NSF-specific data management plan includes data collection methods, data storage procedures, data sharing protocols, and plans for long-term data preservation and access.