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 - 3 of 3

Monash University; Working Group on NIH DMSP Guidance
This large-scale project aims to generate an integrated model of primary healthcare for refugee clients in Australia. Their DMP is an excellent example of an in-depth process-based DMP that outlines governance, organization, documentation, and storage for all data types, and sharing and access (including how requests should be made).
McMaster University

This is a student data management record created by the vascular dynamics lab. Although it was created for students working within this lab and is structured for kinesiology related research, it has broad applicability as an exit protocol for labs working across Natural and Health Sciences. 

University of Zurich; ETH Zurich; University of Cambridge; Digital Curation Centre (DCC)
This data management plan aims to extend an existing study on the same topic by creating new data from surveys. This DMP also deals with sensitive identifiable data and anonymization practices.