Data Management Plan Database

A Data Management Plan (DMP) describes how you will manage, store, secure, document, and share research data. DMPs can vary broadly across disciplines, methodologies, and data types. DMPs are a growing requirement for grants, and can also guide data practices for individuals and teams. DMP Assistant is a free webtool that guides you through drafting your DMP and the easiest way to start building a DMP. 

Our database gathers examples from across the world including DMPs from the Digital Research Alliance of Canada, National Institutes of Health (NIH), Qualitative DMP Competition, DataOne, Digital Curation Centre, Liber, the Working Group on NIH DMSP Guidance, and UC San Diego Research Data Curation into one searchable, open-access platform. 

Download the amalgamated dataset: https://doi.org/10.5683/SP3/SDITUG

Project Team: Shrey Acharya (RDM Assistant - 2023), Sarthak Behal (RDM Assistant 2022-23), Danica Evering and Isaac Pratt (RDM Specialists), Debbie Lawlor (Developer).

Data Management Plan Database

Search and Browse Data Management Plans

Displaying 1 - 4 of 4

Rice University

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.

University of Maryland, College Park

This DMP highlights how a Digital Curation Innovation Center will manage its data.

University of Nebraska - Lincoln

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.

University of Nebraska--Lincoln

This DMP will collect data to "reduce the risk of hazard material transportation, reduce crashes, improve emergency response times for unexpected events, and increase the overall safety of system workers and users."