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 California, Davis; Working Group on NIH DMSP Guidance
This DMP aims to collect and sample data from the Twitter API for subsequent use in social science research to better understand social media communication during a crisis.
DataOne
This DMP aims to create software maps in order better read and store HDF files.
University of Colorado Boulder; Working Group on NIH DMSP Guidance
This DMP aims to collect data along a stretch of the Canadian Artic to establish a baseline level of pollen that will be compared to current modern levels of pollen so that the effect of climate change on the Artic and subarctic ecosystems can be ascertained.
UC San Diego
This data management plan is from Allan Snavely's proposal to the Strategic Technologies for Cyberinfrastructure (STCI) program.
Christopher Newport University; Working Group on NIH DMSP Guidance
This DMP will generate draft papers, software prototypes, configurational files, and other computational applications to improve cryptographic software fingerprinting.