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The Data Management Planning Tool (DMPTool) is the authoritative way to build your data management plan. DMPTool.org has templates from all the major funders, and sample language specific for Texas State University researchers to help you write a great DMP.
To get started, go to DMPTool.org:
- Click "Sign-in" and use your Texas State email address
- Click "Sign in with Institution to Continue" button
- Use your Texas State NetID and password to login
Basics of a Data Management Plan
When developing a project or applying for funding you are likely to need a data management plan. A data management plan (DMP) will help you manage your data, meet funder requirements, and help others use your data if shared.
What is a Data Management Plan and do I need one?
A data management plan is simply a 1-2 page summary explaining how you are planning to manage the data gathered in the course of your research project. Most funding agencies are asking researchers to submit a data management plan as part of their grant application. A data management plan should address the following questions:
- What type of data will you collect and how will it be described?
- How will you store and keep your data secure?
- Will you be able to allow access to your data once the project is complete? Who will be able to access the data, under what conditions, and for how long?
Always consult the specific data management requirements for your funding agency to write your data management. Links to additional resources and ideas are provided below:
Data Management Plan Components
The following is based on NSF general plan guidelines:
- The TYPES of data, samples, physical collections, software, curriculum materials, and other materials to be produced in the course of the project;
- The STANDARDS to be used for data and metadata format and content (where existing standards are absent or deemed inadequate, this should be documented along with any proposed solutions or remedies);
- Policies for ACCESS and SHARING including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, or other rights or requirements;
- Policies and provisions for RE-USE, re-distribution, and the production of derivatives; and
- Plans for ARCHIVING data, samples, and other research products, and for preservation of access to them.