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

This guide introduce the essentials of good research data management and how the library can support researchers in managing their research data.

Research Data Management Basics

What Is Research Data?

Research data is any information collected or produced during the course of research that can be used to validate original research findings. Data can include numerical information, measurements, recordings, textual documents, physical specimens, and more.

What is Research Data Management?

RDM (Research Data Management) is the management of data used or generated during the research process, with the goal of ensuring that the data is usable by future researchers for further research, analysis, and the validation of completed research.

Why does RDM Matter?

Good RDM practices:

  • Increase research reproducibility
  • Increase public trust in research
  • Allows for the replication and validation of research
  • Enables other researchers to reuse data and avoid research waste
  • Helps researchers find, use, and interpret their own data during the research process

Library Data Services

The library provides a variety of data services to help you manage your research data. Reach out to your liaison librarian for assistance or questions.

We can help you

  • Write a data management and sharing plan
  • Find publicly available datasets to use in your own research
  • Understand funder and publisher data sharing requirements
  • Find tools to streamline the data management process
  • Identify appropriate repositories to share your data
  • Name, format, and organize your data according to best practices
  • Use proper metadata standards to describe your data
  • Understand data licenses and copyright law

Liaison Librarians