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

Last modified Jun 05, 2025

Search and Browse Data Management Plans

Displaying 1 - 17 of 17

CIMP242-BG

Original Source

N/A

This DMP aims to collect audio data from stationary recorders and audio logger data. This data will be used in the efforts of studying the disturbance on barren-ground caribou with a two-pronged acoustic monitoring approach.

Corn Fertilizer Response and Safe Rate Guidance for Various Strip-Till Fertilizer Placements

Original Source

University of Guelph

This DMP aims to collect numeric data only. The aim of the project is to investigate 4 fertilizer placements used by strip-tillers.

Data Management Plan Template: Advanced Research Computing

Original Source

University of Waterloo; Digital Research Alliance of Canada

This DMP aims to collect text, binary (ASCII, binary), images, audio, etc. data to develop advanced research computing frameworks and infrastructure for application in various fields like quantum chemistry, biochemistry, machine learning, and artificial intelligence.

Data Management Plan to Optimize an Industrial Extrusion Process

Original Source

Cégep de Sherbrooke; Digital Research Alliance of Canada

This DMP aims to collect digital, tabular, and graphic data on plastic production parameters, environmental conditions, and inspectional measures among other factors to optimize the industrial extrusion process.

Development of high-yielding soybean cultivars with diverse genetic background, disease resistance and seed quality

Original Source

University of Guelph

This DMP aims to collect numeric field data to be used to diversify and enhance The University of Guelph’s soybean breeding.

Evaluation of an automated feeder algorithm as an intervention to ameliorate diarrhea and improve performance in calves using a non-steroidal anti-inflammatory drug

Original Source

University of Guelph

This DMP aims to collect numeric data to determine if intervention with a NSAID upon an alert on an automatic feeder can improve calf behavior, glucose status, and performance.

FFTARI-2023-5- Enabling no-till corn and soybean production in high-residue environments via improved planter components

Original Source

University of Guelph

This DMP aims to collect both qualitative and quantitative data. This data is mainly numerical and includes soil structural properties, crop measurements, and general site information. Data collected will be used in the study of no-till corn and soybean production in high-residue environments via improved planter components.

Garlic Germplasm and Clean Seed Production

Original Source

University of Guelph

This DMP aims to collect numeric data to improve the productivity and profitability of Ontario garlic sector.

Machine Learning Based Rapid Self-Assessment and Understanding of COVID-19 Disease Progression to Support Public Policy Decisions

Original Source

Concordia University of Edmonton

This DMP aims to collect tweets from twitter, and use machine learning to analyze mental health patterns due to the Covid-19 pandemic.

Novel approaches for assessing biological indicators of soil health

Original Source

University of Guelph

This DMP aims to collect DNA sequences acquired from MiSeq analysis of soil metagenomic DNA. This data will be used to investigate approaches for assessing biological indicators of soil health.

ONFARM: Data Management Plan

Original Source

ONFARM Consortium

This DMP was curated for the ONFARM project in aid of dealing with their soil health data, and their water quality/quantity data.

Open Data Practices in Engineering

Original Source

University of British Columbia

This DMP aims to collect Qualtrics survey data in the efforts of examining open data practices amongst engineering researchers at UBC.

Processing tomato breeding 2021 to 2023

Original Source

University of Guelph

This DMP aims to collect numeric data on tomato characteristics to study how to increase diversity in processing tomato breeding lines in Ontario.

Regional approach to advance integrated management tools to minimize disease loss from tar spot on corn

Original Source

University of Guelph

This DMP aims to collect numeric data, and drone images/video footage. This data will be used to advance integrated management tools for minimizing disease loss from tar spots on corn.

Understanding antimicrobial use and resistance in the Ontario cow-calf sector: A building block for sustainability initiatives

Original Source

University of Guelph

This DMP aims to collect numeric, text, images, and lab data to aid in the efforts of providing practical and effective prudent antimicrobial use guidelines for Ontario cow-calf operations.

Understanding Salmonella Dublin Transmission on Ontario Dairy and Veal Farms

Original Source

University of Guelph

This DMP aims to collect numeric data from lab info, treatment info, surveys, and questionnaires. This data will be used to understand the transmission of Salmonella Dublin within dairy and veal farms in order to control it better.

Weed Management in Processing Vegetables

Original Source

University of Guelph

This DMP aims to collect numeric data only, consisting of things like weed control, crop injury, crop dry weight, and crop yield. The goal of the project is to examine various herbicide tolerances of several vegetable crops.