Before starting a new research project, it is critical to develop a data management plan (DMP) that outlines your practices for collecting, organizing, backing up, and storing the data you will be generating. To help you begin writing a DMP, we provide a general template that includes questions to address; however, funding agencies like the National Science Foundation have specific guidelines on what information to include in your DMP that should take precedence.
- Review your funding agency guidelines for data sharing and determine requirements that need to be addressed
- Get help writing your DMP:
- Online: Use our tools to create a first draft of your DMP
- In Person: Once you have a draft, consult with a data curation librarian to review your plan and give you feedback within one business day
- Implement your plan by using tools and resources found across campus
Points to address in your DMP
- What types of data will be produced in terms of format, file size, and classification (e.g., quantitative, qualitative, or sensitive)?
- What metadata standards do you need to follow for documentation?
- Do any considerations need to be make to protect sensitive information, including study participant confidentiality and intellectual property protection?
- What policies do you need to follow with respect to data sharing and reuse?
- How will you ensure archiving and preservation of the data you will produce?
Resources and Examples
The Libraries have organized the following resources that may be useful for you as you write your DMP:
- UMN DMP template (google doc): a template you can use to begin writing your DMP
- Boilerplate text that you can use in your DMP and project proposal:
- NSF Directorate Guidance: a review of the NSF guidelines regarding data management
- Example DMP's in a variety of disciplines: a collection of discipline-specific DMPs to guide your thinking about considerations you should make when writing your own DMP