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 - 8 of 8

AKRO/SF: Blend System

Original Source

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.

Data Management Plan For California’s Statewide MPA Monitoring Program

Original Source

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.

Data Management Plan Template: Mixed Methods (Surveys & Qualitative Research)

Original Source

University of Alberta; Digital Research Alliance of Canada

This is a template DMP for mixed-methods research where data is obtained from surveys and qualitative interviews/focus groups.

Harvesting Our Potential: Training Beginning Women Farmers Through Mentorship

Original Source

Women Food and Agriculture Network

This DMP aims to collect both digital and non-digital including online program participant registrations, outreach materials, project activity tracking, and assessment questionnaires. This data will be used in the effort of providing more opportunities for women farmers, as well as boosting aspects of confidence, interest, commitment, and connectivity with respect to the farming field.

InterFlex Data Management Plan

Original Source

Enedis

This DMP was created for the InterFlex project, which aims to look at ways to adapt and modernize the electric distribution system. The DMP will outline the collection of documents, financial data, facility data, network data, and customer data.

Mid-America Transportation Center (MATC) : Data Management Plan

Original Source

University of Nebraska--Lincoln; Working Group on NIH DMSP Guidance

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."

Mixed Methods Research Example - Funding Application Stage (2024)

Original Source

University of Alberta; Digital Research Alliance of Canada

This is a DMP example for a fictional research study that will use a mixed-methods approach to collect participant data from interviews, surveys, and focus groups. This example uses the new Alliance Simplified Template (Funding Application Stage) which focuses on 5 questions that are helpful for a DMP that meets new Tri-Agency requirements.

TrIAS Data Management Plan

Original Source

Botanic Garden Meise; Research Institute for Nature and Forest

This DMP was created for the TrIAS Project, which aims to formulate better predictions of the risks posed by alien invasive species in Belgium. It aims to collect observational data, checklists, climate data, assessment data, and code.