This fictional data management plan focuses on caring for mixed methods research through survey data, interviews, and focus groups. For the purposes of training, this DMP assumes data collected by the study will not be sensitive, and that participants have consented for their de-identified information to be deposited into a data repository in support of preservation and open research.

This is a DMP template for researchers at Leiden University, The Netherlands. It has a checkbox format instead of a paragraph format which could be useful for certain researchers.

This is a set of sample DMPs produced by the Rice Research Data Management Team containing a preamble explaining recommended content and two Sample DMPs for Biosciences and Social and Behavioral Sciences.

This outlines best practices to include when writing DMPs. It shares examples of good language included in DMPs to highlight the importance of specificity in describing privacy and licensing, procedures, roles and responsibilities, data sharing, metadata, citation, and long-term archiving. It also gives examples of bad language in DMPs to demonstrate poor data management strategies.