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

Data Management Plans Overview

Search and Browse Data Management Plans

Displaying 1 - 3 of 3

AKRO/SF: Catch Accounting System (CAS)

Original Source

Alaska Regional Office (AKRO); NOA Fisheries

This DMP was created for the Catch Accounting System, which aims to create total catch estimates for the groundfish fisheries. This DMP outlines the collection of digital numeric data, imagery, photographs, video, audio, database, and tabular data.

Data Management Plan Template: Systematic Reviews

Original Source

University of Calgary; Digital Research Alliance of Canada

This is a template DMP for use in systematic review projects in any field.

PRIMAGE: PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers Business Place

Original Source

UNIPI

This DMP was created for the PRIMAGE project which works in the area of medical imaging, artificial intelligence, and childhood cancer research. The project will collect data such as clinical data, biomarker information, and images.