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Data Management: Introduction


NU does not have a data management policy but it is still good practice to manage your data.

  • Save time
  • Simplify workflow
  • Save and share data
  • Meet journal and grant requirements

Research data includes data you created (primary) and data you used from others (secondary).

  • Observational
  • Experimental
  • Simulation
  • Derived

There are many different formats

  • Documents and spreadsheets
  • Lab and interview notes
  • Film/audio/image/models



Free tool with step by step instructions with helpful text, resources, and suggested answers as well as templates for most US funding agencies.

Sample DMPs

Create your own plan

Data Management Plans typically include the following sections

  • Funding requirements
  • Legal requirements
  • Data access and sharing
  • Metadata
  • Security and storage
  • Preservation

Other Resources

The following universities require data management as a part of research practice so have extensive information on storage, archiving, and sharing data.

SST Subject Librarian

Carlene Groen's picture
Carlene Groen
Block 5, Floor 3
+7 (7172) 70 92 03
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