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.
Natural Justice; Working Group on NIH DMSP Guidance
This DMP aims to collect data on Indigenous experiences with climate change and the licensing behind data produced by these communities.
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.
Working Group on NIH DMSP Guidance
This DMP will use information from police incident and investigation reports from 5 different jurisdictions in America to investigate the impact 25 specific demographic factors have on how a case is sentenced or whether it is charged.