Data Reference: Data Management

Research Data Management

Research Data Management

Data management is the process of controlling the information generated during a research project. Any research will require some level of data management, and funding agencies are increasingly requiring scholars to plan and execute good data management practices.

Research Data Lifecycle

Data often have a longer lifespan than the research project that creates them. Researchers may continue to work on data after funding has ceased, follow-up projects may analyze or add to the data and data may be re-used by other researchers. Well organized, well documented, preserved and shared data are invaluable to advance scientific inquiry and to increase opportunities for learning and innovation.

A diagram of the research data life cycle, comprised of creating data, processing data, analyzing data, preserving data, giving access to data and re-using data.

The data life cycle diagram is provided by the UK Data Service. For more information and resources, see

More Information on Research Data Management

Even if you aren't writing a formal DMP to fulfill a grant requirement, some of the benefits of good data management and sharing practices include:

  • Saving time in the long run
  • Allowing you to focus on your research rather than user requests
  • Ensuring that others can understand your data
  • Making sharing/preserving data easier
  • Helping to avoid data loss in the event of a disaster or user error
  • Letting your work live into the future



In the Library

Outside the Library

Just for fun...

Need a break? Take a look at " My Data Management Plan - a satire ."

Subjects: Data
  • Last Updated: Nov 11, 2021 2:00 PM
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