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

Search and Browse Data Management Plans

Displaying 1 - 15 of 15

N/A; Working Group on NIH DMSP Guidance
This DMP aims to collect meteorological, physiochemical, environmental, and copepod population data to determine the effect of heavy metal on Estuarine Copepods.
University of Vienna (PHAIDRA)
This DMP was created for the Beacon project, which aims to develop and test the tools necessary for the assessment of bentonite mechanical evolution. Data collected will include images, observational data, experimental data, and physical data.
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.
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.
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.

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.
DYNACOMP consortium; University of Vienna (PHAIDRA)
This DMP was created for the DYNACOMP project, which aims to set up a training network for the design of advanced structural composite materials. Data collected includes mainly numerical data.
Johns Hopkins University; Working Group on NIH DMSP Guidance
This DMP aims to collect data on viruses and viral infections in the ocean to better understand which bacteria viruses infect. To do this, the researchers are developing a "high-throughput technique to identify cultures in the environment."
University of Vienna (PHAIDRA)
This DMP was created for the EVE project, which aims to promote a sustainable approach to creating new hi-tech ground vehicle systems. It will intend to deal with raw data, and analyzed data.
Bangor University
This DMP aims to collect  demographic data, numeric data, and raw and standardized score measurements. This data will aid with investigating the combined effectiveness of language and literacy interventions on reading outcomes in primary school children.
Durham University
This DMP aims to take a qualitative approach through the use of research interviews and solicited diaries. The data mentioned above will be used to investigate the manner in which LGBTQ language instructors navigate across the highly complex environment of Vietnamese language education.
McMaster University
This DMP aims to collect survey data, assessment data, interview data, audio recordings, transcriptions, document drafts, and data tables. This data will be used to create a set of design principles to empower university-level instructors to either incorporate generative AI tool use in assessments or to limit the impact of generative AI on the integrity of assessments.
University of Bari Aldo Moro; University of Vienna (PHAIDRA)
This DMP was created for the HyPhOE project, which aims to establish a symbiosis between photosynthetic organisms and technology. Data collected includes crystallographic data and experimental data.
National Science Foundation (NSF)
This DMP was created by the NSF as a template for Engineering.
University of Bath
This DMP is a template for the department of Mechanical Engineering at the University of Bath.