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 - 15 of 15

Art and Research Data Management Plan Template

Original Source

McMaster University

This data management plan template is designed to facilitate group collaboration among a diverse range of stakeholders, including artists, researchers, research participants, social service workers, community organizers, and community workers. It is intentionally crafted in plain language to facilitate accessibility and understanding for all parties involved. Additionally, it frames the process as conversation as opposed to a more traditional form, fostering relational approaches to interdisciplinary collaboration.

Canada Excellence Research Chair (CERC) in Light-Matter Interactions

Original Source

University of Montreal

This DMP aims to collect calculations, simulations, publications, presentations, and experimental design work. The goal of the project is to comprehend and control the quantum dynamics of light-induced excited states in condensed matter.

Collaborative Research: A Novel Physics-Based Fluid-Solid Interaction Methodology

Original Source

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.

Cracking the Language Barrier Data Management Plan

Original Source

CRACKER Consortium

This DMP was created in accordance with the project CRACKER, which aims to “crack the language barrier”. The DMP outlines the collection of various forms of data including, text, audio, video, machine-readable dictionaries, terminological resources, and computational grammars.

D4.11 Data Management Plan - Intermediate version

Original Source

Universidad Politécnica de Madrid; Working Group on NIH DMSP Guidance

This DMP looks at light pollution samples acquired by photometers followed by subsequent analysis.

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 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.

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.

Language Endangerment and Revitalization at the Dialectal Level: A current analysis of Salasaca Kichwa (ISO 639-3 = qxl)

Original Source

Temple University; Working Group on NIH DMSP Guidance

This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.

Mock Behavioral and Eye-Tracking Project with Human participants

Original Source

Montreal Neurological Institute

This DMP aims to collect reaction time, choice, and eye-tracking data which will be used for a mock behavioral and eye-tracking project.

OSIRIS-REx Science Data Management Plan

Original Source

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.

Phonological aspects of word learning: Advantages of bilingualism and impacts of developmental language disorder

Original Source

Portland State University; Working Group on NIH DMSP Guidance

This DMP aims to collect linguistic and developmental data to determine how phonological learning and bilingualism impacts development.

Text analysis of Taldash (GAL) in Support of Nuu-wee-ya' Language Revitalization: Indigenous-based linguistic analysis and methodological reflections

Original Source

University of Oregon; Qualitative Data Management Plan (DMP) Competition

This DMP aims to digitize data and create a database of semantics, lexicon, and morphemes to preserve the Nuu-wee-ya' language.

Using natural language processing to determine predictors of healthy diet and physical activity behavior change in ovarian cancer survivors

Original Source

University of Arizona; Working Group on NIH DMSP Guidance

This DMP will use longitudinal speech data of cancer survivors from another study to develop a Machine Learning model that can increase participant compliance with health lifestyle habits.

ViaLactea Data for Visual Analytics

Original Source

Working Group on NIH DMSP Guidance

This DMP will collect different wavelengths of light to analyze star formation regions in the Milky Way.