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: Rebeca Gaston Jothyraj (RDM Assistant - 2024), 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 - 5 of 5

University of Montreal

This DMP aims to collect calculations, simulations, publications, presentations, and experimental design work. The goal of the project is to comprehend and control the quantum dynamics of light-induced excited states in condensed matter.

Digital Research Alliance of Canada; University of Waterloo

This DMP example show uses a case study of relativistic astrophysics and gravitational physics data to show how management strategies can support computational reproducibility in High-Performance Computing. Data are the inputs and outputs of the numerical simulation model.

University of Waterloo; Digital Research Alliance of Canada
This DMP aims to collect photographs, Raman data, and lab data to develop new and efficient techniques for synthesizing two-dimensional perovskites at lower temperatures.
New Jersey Institute of Technology
This DMP aims to collect mathematical model data, code, experimental data, and numerical simulation data. The project itself intends to create a cross-disciplinary training program based on the relationship between mathematics and biology.
INSIGHTS Consortium; University of Vienna (PHAIDRA)
This DMP was created for the INSIGHTS project, which aims to develop advanced statistical methods for software-aided problem solving in particle physics and other fields. This project will develop experimental data with 4 levels of significance.