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

Data Management Plans Overview

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Displaying 1 - 2 of 2

Pain Relief After Instrumented Spinal surgEry trial (PRAISE Trial)

Original Source

The University of Sheffield; National Health Service (NHS); National Institute for Health Research

This protocol was created for the PRAISE trial, which aims to study pain relief after instrumented spinal surgery. The DMP portions of the protocol are sections 14 and 15, and will outline the management of study records, medical records, and source data.

Volatile vs Total intravenous Anaesthesia for major non-cardiac surgery: A pragmatic randomised triaL (VITAL)

Original Source

University of Warwick, NIH

This protocol was created for the VITAL trial which aims to investigate volatile and total intravenous anesthesia for major non-cardiac surgery. The main form of data collected is clinical data, and the management of said data is available in section 5 of the protocol.