Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Research Data Management (RDM)

This LibGuide provides guidance on research data management (RDM), creating data management plans (DMPs) and other resources.

What is Research Data Management?

Research Data Management (RDM):

  • is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project.
  • involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions).
  • it also involves decisions about how data will be preserved and shared after the project is completed (for example, depositing the data in a repository for long-term archiving and access).

Why should I manage my data?

Managing data helps:

  • to ensure research integrity and reproducibility
  • to prove research findings
  • to increase your own research efficiency and reliability
  • to save time, prevent errors and resources in the long run
  • to enhance data security and minimize the risk of data loss
  • to ensure your data is accessible and shareable that will prevent duplication of effort by other researchers
  • to prevent accidental breaches of privacy and ethical legislation
  • to meet funding body grant requirements (if applicable)

 

 

NMU Library Website       Connect with us on: FaceBook   YouTube

G-GVBBM8RVQV