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

Purdue University
This DMP aims to outline data collection for a project focused on light towers under the Wyoming Department of Transportation. The data collected will include information about climate, wind, strain, temperature, and presence of icing. Photographs and drawings are also collected.
Temple University; Working Group on NIH DMSP Guidance
This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.
Portland State University; Working Group on NIH DMSP Guidance
This DMP aims to collect linguistic and developmental data to determine how phonological learning and bilingualism impacts development.
University of Oregon; Qualitative Data Management Plan (DMP) Competition
This DMP aims to digitize data and create a database of semantics, lexicon, and morphemes to preserve the Nuu-wee-ya' language.
University of Arizona; Working Group on NIH DMSP Guidance
This DMP will use longitudinal speech data of cancer survivors from another study to develop a Machine Learning model that can increase participant compliance with health lifestyle habits.