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Scholarly Communication: Data Management

What is data?

Every discipline has data. Research data that should be properly managed include both quantitative and qualitative data.

Types of data include: 

  • Laboratory experiment data
  • Observational data
  • Raw data generated from instruments
  • Interviews
  • Transcripts
  • Statistics
  • Figures
  • Code
  • Photographs
  • Textual Analysis
  • Physical artifacts

Why should I manage my data?

Increase your research impact
Sharing your data can increase your research's discoverability and relevance. There is also a citation advantage for researchers who make their data openly available.

Save time
Planning for data management will save you time and headaches in the future.

Meet grant requirements
Many funding agencies now require that research data is properly managed and the data collected for a funded research project is shared. Learn more about federal funding requirements.

Preserve your data
Depositing your data in a data repository protects your research time and preserves your research contribution for you and others to use.

Maintain Integrity
Managing your data throughout its life cycle will ensure that you and others can understand use the data in the future.

Data Sharing and Management Video

Data Sharing and Management Snafu in 3 Short Acts by NYU Health Sciences Library

Don't let your data scare you!

Image of a man pushing into data storage cabinets, CC BY Jorgen Stamp

CC BY 2.5 Denmark license www.digitalbevaring.dk.
Illustration by Jørgen Stamp.

Data management can feel overwhelming, but with a strong data management plan you will be organized and confident in the management of your data.

Follow this guide and learn how to organize, document, store and backup your data, how to draft a data management plan, and share your research data.