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 - 5 of 5

University of North Carolina at Chapel Hill; Working Group on NIH DMSP Guidance
This DMP aims to collect data obtained from imaging mass cytometry in order to machine learning and computational models that to optimize the technology.
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.
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.
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 Nebraska Medical Center; Working Group on NIH DMSP Guidance
This DMP aims to collect wet-lab cellular data obtained from microscopy, blots, etc. in order to evaluate the role of various immune mediators in periodontitis.