DMP Template

Plan, manage, and protect your project data with a structured Data Management Plan. Ensure compliance with funding requirements while establishing clear processes for data collection, storage, sharing, and preservation.

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Key Elements

documents dashboard

requirements view

database view

 

Made For

program managers

data managers

academic institutions

government organizations 

 

Available For

Sandbox

Academic

Paid

DMP Template Header Image

What Is a DMP?

A Data Management Plan (DMP) is a formal document required for many Research, Education, and Extension projects that outlines how data will be collected, organized, stored, protected, shared, and preserved.

 

What a DMP Does

A DMP provides a structured approach to managing data effectively and responsibly across a project. That generally includes:

Data collection: Defines what data will be created, formats used, and standards applied.

Data organization and storage: Establishes how data will be stored, backed up, and maintained securely.

Access and sharing: Outlines how data will be shared, including any restrictions or access controls.

Compliance and security: Ensures adherence to regulatory, legal, and funding requirements.

Preservation and reuse: Defines how data will be archived and made available for future use.

 

Where You Might See a DMP?

  • Research grant proposals and funding applications
  • Academic and scientific research projects
  • Government-funded programs requiring data compliance
  • Projects involving data sharing or long-term data preservation
  • Collaborative research initiatives across institutions

Specification Template Included

Request access to the following specification.

 


Data Management Plan

Provides a structured framework for developing a Data Management Plan (DMP) that outlines how data will be collected, managed, shared, and preserved throughout a project lifecycle.


 

Accelerate Your Project With Model-Driven Data Management Plans

Receive a structured, traceable version of your DMP aligned with data management best practices and funding requirements.