Research Data Management

Our Data Management consultants are able to meet with researchers to understand first-hand the specifics of your research project and to tailor data management best practices to your particular funding proposal. 

Advising sessions may cover:

• Funding Requirements
• Data Management Best Practices for:
  • Organizing Data (best practices, file plans, software)
  • Storing and Preserving Data (MSU storage options, external repositories, file formats)
  • Documenting Data (barebones documentation, metadata standards)
  • Sharing Data (publishing data, ensuring access, licensing data, citing data)

Contact Digital Scholarship Lab staff. 

Note: This is research experience advice and not legal or compliance advice with no guarantee of grant success. You should also contact us at least 2 weeks before your grant submission deadline to ensure a timely response.