A data management plan (DMP) is a written document that describes the data you expect to acquire or generate during the course of a research project, how you will manage, describe, analyze, and store those data, and what mechanisms you will use at the end of your project to share and preserve your data.
You may have already considered some or all of these issues with regard to your research project, but writing them down helps you formalize the process, identify weaknesses in your plan, and provide you with a record of what you intend(ed) to do.
Data management is best addressed in the early stages of a research project, but it is never too late to develop a data management plan.
(From University of Louisville Data Management Resource Guide)
(You can obtain more information of each of the above categories from UNLV's Data Management Plan Resource Guide)
The DMPTool is a free, open-source, online application that helps researchers create data management plans. These plans, or DMPs, are now required by many funding agencies as part of the grant proposal submission process. The DMPTool provides a click-through wizard for creating a DMP that complies with funder requirements. It also has direct links to funder websites, help text for answering questions, and resources for best practices surrounding data management.
(From Princeton University Research Data Management Resource Guide)
The above video from the University of Louisville offers a simple overview of the DMPTool. Currently, there are no preset templates for Cal Poly Pomona with the DMPTool, so please follow any templates that have been identified by your grant funder.