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Data Management: Home

Research Data Management

This guide is intended to help you navigate all aspects of research data planning, creation, and management. The tabs just above this box will help you with writing a data management plan, organizing and storing your data, and archiving your data at the conclusion of your project.

What Is Research Data?

Data includes more than just numbers. Any recorded material that validates research findings can be considered data. Some examples of research data:

  • Documents and spreadsheets
  • Lab notebooks, field notebooks, diaries
  • Questionnaires
  • Transcripts
  • Codebooks
  • Audio and video recordings
  • Photographs, x-rays or negatives
  • Protein or genetic sequences
  • Spectra, spectroscope data
  • Test responses
  • Slides, specimens, or samples
  • Models, algorithms, scripts, code, or software
  • Cell lines, viruses, or cell products