Data Management @ NAU

Evaluating data needs.

Writing a data management plan (includes links to funder requirements).

During the project:

• Organizing and naming files.
• Structuring and describing data (metadata).
• Data storage, backups, and security.

After the project:

• Sharing data.
• Citing data.
• Long-term data preservation.

Protecting sensitive data:

• Working with sensitive data.
• Sharing sensitive data.
• Examples of sensitive data.