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 - 9 of 9

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.

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.

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 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.

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.

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.