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 - 4 of 4

Alaska Regional Office (AKRO); NOA Fisheries
This DMP was created for the Blend System, which aims to provide a comprehensive accounting of groundfish catch. The project collects digital numeric data, imagery, photographs, video, audio, database, and tabular data.
University of Kansas; Working Group on NIH DMSP Guidance
This DMP aims to collect data to establish a novel mode of interaction between fluids and solids.
California Ocean Science Trust
This DMP was created for California’s Statewide MPA Monitoring Program, collecting four levels of data. Data types include ecological data, fisheries landings data, environmental data, field and measurements.
University of Arizona; Working Group on NIH DMSP Guidance
This document is an in-depth process Data Management Plan for the OSIRIS-REx project. This outlines generation and validation of mission, spacecraft, instrumentation, calibration, algorithms, software, and other data for an asteroid sample return project.