The following questions can help you to begin to think about how you will manage your data and the answers will be useful for developing the content of a data management plan.
Data Production |
- What type(s) of data will be produced?
- What file format(s) will the data be saved as? Are those file formats proprietary? Will they degrade?
- Will the data be reproducible?
- Do you need tools or software to create/process/visualize the data?
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Data Size |
- How much data will it be, and at what growth rate?
- How often will it change?
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Data Usage |
- Who will potentially be using your data both now and later?
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Data Retention |
- How long should it be retained? (e.g., 3-5 years, 10-20 years, permanently).
- Does your institution have a data retention policy?
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Privacy and Security |
- Any special privacy or security requirements? (e.g., personal data, high-security data).
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Data Sharing |
- Any sharing requirements? (e.g., funder data sharing policy).
- Have you chosen a repository in which to archive your data?
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Data Management Plan |
- Does your funding agency require a data management plan in the grant proposal?
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Data Documentation |
- How will you be documenting your data and project?
- What directory and file naming convention will be used?
- What project and data identifiers will be assigned?
- Is there a schema, ontological, or other metadata standard in your field for sharing data with others?
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Storage and Backup |
- What are the strategies for storage and backup of the data?
- Are you aware of support backups?
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Publication |
- When and where will the work be published?
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Responsibility |
- Who in the research group will be responsible for data management?
- Who controls the data (PI, student, lab, institution, funder)?
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