Skip to main content

Research Guides

Research Data Management

About Data Management Plans

Data management plans (DMPs) describe the data management activities for a research group, researcher, or research project. They are structured documents created in advance of collecting data, and describe practices that will be followed over the course of the data lifecycle.

Researchers can also use DMPs as living documents that describe their overall data management practices in detail, and are refined over time.

Create a Data Management Plan

The DMPTool is an online platform guiding DMP development according to the requirements of specific funding agencies. Texas A&M University researchers log in with their NetID and passwords.

Components of a Data Management Plan

Data description

  • Who will be responsible for the data and their management?
  • What types of data will be collected or created?
  • How will data be collected or created, and processed?


  • Which file formats will be used for working data?
  • What additional information is needed to make data meaningful, how will this be captured?
  • What forms will additional descriptive material take?
  • Which metadata standards will be followed?

Policies for access, sharing and re-use

  • How will data be stored, backed up, and maintained during the project?
  • How will you manage access and security?
  • Are there any ethical, privacy, or legal issues?
  • How will the data be shared or made available? Are there any restrictions?
  • What are intended or anticipated future uses?

Long-term storage and management

  • Which data will be preserved for the long-term?
  • Which file formats will be used for long-term accessibility?
  • Where will data be archived and how will they be maintained to ensure preservation?

Template Text

Template text for using the Texas Data Repository in your grant

The Texas Data Repository  is the Texas A&M University institutional data repository, made available to researchers by the University Libraries. It is a flexible online platform for researchers to publish and archive datasets and data products. If appropriate for your needs, use this template language in your DMP to indicate your strategy for data preservation and sharing.