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 31 - 38 of 38

Arizona State University
This DMP aims to collect seedlings establishment population data, seedlings density, statistical analyses, and text information. This data will be used in the efforts of studying seedling establishment and woody-plant encroachment in southwest rangelands.
PENSOFT; ARPHA Preprints
This DMP was created for the SHOWCASE project which aims to help farmers that are capitalizing on native biodiversity. The DMP outlines the collection of experimental design data, literature reviews, modeling data, performance analysis data, and assessment data.
Montana State University
This DMP was curated for the STARS project, which aims to develop and deploy a framework for soil testing, analysis, and risk-management. The data collected will include education data, administrative data, research data, evaluation data, satellite and geospatial data, unmanned aerial systems images, and regression models.
STRADIV Consortium
This DMP was created for the STRADIV project, which aims to outline the conditions needed for an ecological transition of agroecosystems. The data collected includes agronomic data, experimental data, survey data, and  observational data.
University of Guelph
This DMP aims to collect numeric, text, images, and lab data to aid in the efforts of providing practical and effective prudent antimicrobial use guidelines for Ontario cow-calf operations.
University of California, Riverside
This DMP aims to collect both non-digital and digital data. The specific forms of data are hand-written observations, images, videos, nucleotide and protein sequences, genome sequences, genome annotations, metabolic models, metabolomics and transcriptomics data, as well as genetic and phenotypic data. This data will be used in the aim to create citrus trees that are resistant or tolerant to Huanglongbing (HLB) disease, and/or to create effective treatments.
University of Guelph
This DMP aims to collect numeric data from lab info, treatment info, surveys, and questionnaires. This data will be used to understand the transmission of Salmonella Dublin within dairy and veal farms in order to control it better.
University of Guelph
This DMP aims to collect numeric data only, consisting of things like weed control, crop injury, crop dry weight, and crop yield. The goal of the project is to examine various herbicide tolerances of several vegetable crops.