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Data Management and Planning: Writing a DMP

Use this guide to learn the basics of Data Management and Data Management Planning, to prepare to write a Data Management Plan (DMP), or use it as a reference tool for various aspects of the same.

Other tools to help you plan to manage data logo

The authoritative way to build your DMP, has templates from all the major funders, and sample language from your institution to help you write a great DMP.



The content of your Data Management Plan (DMP) depends largely on the various stakeholders involved in your research project. Consider these:

  • Primary Researcher: You'll be the primary user of your data. What do you need to know to manage your data well?
  • Secondary Researchers: When your co-investigators are gathering your data, what do they need to know to do a good job?
  • Institution: What Texas State University Policies apply to your data? 
    • Provide some links here to R&FR, ORIC, IRB, IT Security, etc.
  • Data Repository: Plan now for the needs of the repository/repositories where you will share and preserve your data.
    • What file types do they accept?
    • Do they require certain metadata?
  • Users: Who do you think will use or re-use your data? What documentation will they need to understand your research study? What documentation will assist them in replicating your analyses?
  • Funders: Check for funder requirements. Common funder requirements are listed elsewhere in this guide (LINK)
  • Publishers: Publishers may have certain requirements for data management. Do they require that you wait until after publication to share your data? If you're publishing your data as a data paper, what requirements does that publisher have?

Writing your DMP

A Data Management Plan is a good idea in any research endeavor. Managing your research data well, from the start, will make your research project more efficient, more effective, more easily reproduced, and possibly even more used by your discipline. This page will share a number of resources on the writing of a good data management plan. 

This video created by University of Texas demonstrates