Ryerson University Library provides services to help you with Research Data Management (RDM). Managing your data throughout the life of a research project may save you time and effort overall. Thinking about organization, storage and security at the beginning of a project can make it easier to work with your data later on and may also help you to meet privacy requirements. Archiving and sharing data can help to reduce duplication of efforts, improve open science, help you meet funder or journal requirements and has even been shown to increase research impact. You can use Data Management Planning as a RDM starting point.
A Data Management Plan is a document that outlines how you plan to manage your data from the beginning to end of your research project.
Reviewing the questions and concepts outlined below will help you think about important issues related to data management.
*Copied with permission from Queen's University Library's RDM Libguide.
Placing your data into a repository allows it to be saved after the life of a research project and makes sharing easier. There are a variety of repositories suited for different needs. Your repository choice may be based on data requirements, discipline as well as journal and funder requirements. One potential option is the Ryerson University Dataverse. Please consider contacting the Ryerson Library for advice about selecting a data repository.
The Ryerson Library is here to provide RDM assistance. We are available to help you with Data Management Planning and archiving you data. Please contact Research Data Management Librarian Emily Maemura at email@example.com for more information.