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Data Management

What is Data Management?

Data management refers to the storage, access,and preservation of research data. Data management practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used to long term preservation of data deliverables after the research investigation has concluded.

Why Data Management?

If you are generating and/or using data in your research, a well-thought out approach to data management will save you time and frustration, maximize the impact of your work, and is a responsible research practice.  A data management plan (DMP) is a formal document describing data that have been or will be gathered in a study or project. Data management plans can help you:

  • Conduct research efficiently by making your data practices explicit.
  • Describe how data will be maintained and what resources will be needed to preserve it.
  • Have well described and organized data to maintain data integrity and increase usability.
  • Enhance data security measures and minimize risk of data loss.
  • Facilitate re-use of data sets, open access, and data sharing.
  • Increase the impact of your research by making your data available to other researchers.
  • Organize your research to ensure research integrity and replication.
  • Comply with the federal agencies proposal or journal publishing requirements.

For more information, see Data Management Plans.

Data Lifecycle

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