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Research Data Services: Home

This LibGuide walks students through basic instructions on how to manage their data.

Data Management defined

Data management is the structured process of acquiring, validating, storing, protecting, and preserving data where its accessibilityreliability, and description is ensured to satisfy the needs of researchers, funding agencies, and other data users.

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Why use data management best practices?


  • Increase your research impact
    Making your data available to others can impact its discovery and relevance.
  • Save time
    Planning ahead for your data management needs will save you time and resources.
  • Preserve your data
    Depositing your data in a repository safeguards your investment of time and resources while preserving your research contribution for you and others to use.
  • Maintain data integrity
    Managing and documenting your data throughout its life cycle will allow you and others to understand and use your data in the future.
  • Meet grant requirements
    Many funding agencies now require that researchers deposit data collected as part of a research project.
  • Promote new discoveries
    Sharing your data with other researchers can lead to new and unanticipated discoveries and provide research material for those with little or no funding.

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  • Why DM best practices - adapted from MIT Libraries