Jan 14
Research Data Management: The Basics
Research data management (RDM) involves the “organization of data, from its entry to the research cycle through to the dissemination and archiving of valuable results”. RDM is not only good practice, but is required by many funding agencies as part of research grant applications.
Last year, we were joined by Alison Farrell, Research Data Management and Public Services Librarian at the Health Sciences Library (Memorial University) to talk about the importance of managing research data and how to put together a strong data management plan.
See below for Alison’s presentation as well as links to useful resources for managing your research data.
View presentation recording — click here.
- Research Data Lifecycle: This resource compiles lists of data management services, tools and storage options available at Memorial for each phase of the research lifecycle — planning, implementation, publishing and sharing, and preservation and retention.
- Research Data Management Subject Guide: In this guide, you will find information on creating data management plans, best practices for data management, funding requirements, data citation and sharing data.
- DMP Assistant: This bilingual research tool, developed by the Portage Network, walks researchers step-by-step through key questions about data management and includes templates for pertinent questions to think about when creating a data management plan.
Faculty, staff and student researchers at Memorial are also encouraged to contact Alison at alisonr@mun.ca to discuss the available resources and tools for RDM and for assistance in drafting a data management plan.
