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: 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 - 9 of 9
This DMP aims to collect samples from the field to better understand biogenic carbonates through investigating microbes and minerals.
This DMP will collect electrophysiological, histological, and head position data from rats to investigate the firing rate of neurons among other analyses to answer the research question.
DMP for conducting computational neuroscience research to determine brain function.
This DMP outlines the steps that will be taken when digitizing herbarium samples include images of herbarium specimens, specimen data, georeferenced data, programming, and more.
This DMP will collect data from surveys that high school students in King County Schools fill out in order to understand drug use among this population.
This DMP will utilize proteomics, biochemistry, genetics, and microscopic tools to understand the role specific proteins play in polarized cell division.
DMP for conducting a plant-based genomics research working with both observational and experimental data collected in lab as well as bioinformatic databases generated by computer models.
This is a data management plan from UC San Diego which details a strategy to collect and analyze raw data.
This DMP aims to collect data from experiments "using a unique imaging system to probe how a polymeric jet injected into a surrounding Newtonian fluid becomes unstable".