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Research Data Management

This guide is designed to support research data management by providing guidance on good practices and pointing to additional resources.

Scholarly Communications Librarian

Eleanor Mattern's picture
Eleanor Mattern
Contact:
773-834-7377

Getting Started

Defining Research Data Management

Research data management (or RDM) refers to the organization, storage, preservation, and sharing of research data created and used during a research project. It involves a researcher's everyday strategies for caring for their data (such as using consistent file naming conventions) and decisions concerning what to do with the data upon completion of a project (for example, depositing data in a disciplinary data repository for long-term access and archiving).

For a researcher, having an effective plan and approach for the management of their data is important for several reasons, including:

  • Data (especially digital data) is fragile and easily lost.
  • Good data management can save a researcher team time and resources in the long-run, making it easier to locate and understand data files.
  • There are growing research data requirements imposed by funders and publishers.
  • Good management helps to prevent errors and can increase the quality of analysis.
  • Well-managed and accessible data allows others to validate and replicate findings.
  • Data is a scholarly product and, when shared, well-managed data can lead to valuable discoveries by others outside of the original.

Get additional help

The University of Chicago Library can support you in your data management needs before, during, and after a research project. Please contact Nora Mattern, Scholarly Communications Librarian, to request a consultation.