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 - 14 of 14

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.

CAREER: Probing Function in Paramagnetic Sodium Electrodes

Original Source

University of California, Santa Barbara; Working Group on NIH DMSP Guidance

This DMP will collect compositional, electrochemical property, and structural data to investigate their effects on the rate of electron transfer and structural stability of such Na-ion cathode materials.

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 for Computational reproducibility in High-Performance Computing (HPC)

Original Source

Digital Research Alliance of Canada; University of Waterloo

This DMP example show uses a case study of relativistic astrophysics and gravitational physics data to show how management strategies can support computational reproducibility in High-Performance Computing. Data are the inputs and outputs of the numerical simulation model.

Data Management Plan for Ecohydrology Research Group

Original Source

Digital Research Alliance of Canada; University of Waterloo

This is a data management plan example created by the Ecohydrology Research Group at the University of Waterloo. It presents a sample DMP for research work within the field involving laboratory, chemical, biological and numerical data.

Data Management Plan for Usage of Academic Profile Websites

Original Source

Digital Research Alliance of Canada; University of Saskatchewan

This DMP describes a plan for a study to collect data from academic profile websites--Google Scholar, Citations, ResearchGate, Academia.edu, and ORCID--to understand the presence of librarian researchers on those platforms. Data collected for analysis includes textual and numerical data across different platforms and translated in to SPSS for analysis.

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 Template: Studying Molecular Interactions

Original Source

University of New Brunswick; Digital Research Alliance of Canada

This is a template DMP for use in projects that combine scientific methods with computer simulations/modelling to study molecular interactions.

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.

Designing Low-Temperature Synthesis Methods for 2-Dimensional Oxide Perovskites

Original Source

University of Waterloo; Digital Research Alliance of Canada

This DMP aims to collect photographs, Raman data, and lab data to develop new and efficient techniques for synthesizing two-dimensional perovskites at lower temperatures.

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.

Polarization of Plant Cell Division by Receptor-Like Proteins

Original Source

UC San Diego; Working Group on NIH DMSP Guidance

This DMP will utilize proteomics, biochemistry, genetics, and microscopic tools to understand the role specific proteins play in polarized cell division.

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.

VDL Student Data Management Record

Original Source

McMaster University

This is a student data management record created by the vascular dynamics lab. Although it was created for students working within this lab and is structured for kinesiology related research, it has broad applicability as an exit protocol for labs working across Natural and Health Sciences.