A data management plan (DMP) is a written document that describes and outlines the data that you expect to acquire and/or create throughout your research process. Data management plans aim to ensure and broaden access to federally funded research data. Typically, the DMP is 1-2 pages in length and covers five functional areas:
Increasingly, U.S. funding agencies require researchers to include a thorough DMP for all federally funded research. Reviewing the information on this guide will assist you in creating a clear and concise data management plan. Below are some helpful questions to consider while crafting your DMP. Depending upon your research project and research aims, some of these questions may not apply. However, it is best practice to include as much information as necessary so the readers of your grant proposal know you are prepared.
In this section of your DMP, you will want to:
Best practices for documenting research data varies by discipline. If you are unfamiliar with the documentation scheme for your discipline, check out the Digital Curation Centre's disciplinary metadata standards document.
Below are direct links to a few popular metadata and/or data documentation standards for a variety of disciplines that may help you with documenting your data.
In this section of your DMP, you should address questions such as:
When completing this section, consider the following questions:
When you complete this section of your DMP, consider the following:
When possible, it's useful to keep three copies of your data:
Below are a variety of resources that will assist in crafting your data management plan.