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: Home

Resources for writing data management plans, preserving and sharing research data

Why Manage Research Data?

If you conduct research, you produce data. If you produce data, you need an efficient system to organize, store, retrieve, and share it. Developing a comprehensive data management system can help you to:

  • Save future time and effort                                                                       
  • Meet funding requirements
  • Organize an ever-increasing amount of data
  • Ensure long term storage and access
  • Help your data to be replicated and verified

The Research Data Lifecycle

The lifecycle of research data is integral to the research process itself. Thinking about best practices and developing a plan for dealing with data at every stage of the lifecycle can help you to develop a strategy for data management.

The Data Lifecycle, adapted from the Research 360 Project