Arctic blue polygon pattern

The data we collect or generate is highly valuable, both to us and to other researchers. Good routines for handling and archiving research data allow researchers to more easily benefit from and build on the work of others. As a result, you can help to promote more research, knowledge growth, and innovation.

UiT's research data portal provide students and employees information on storing, handling, archiving, making available, and sharing research data. You will find information about all stages of the research data life cycle here. 

If you have any questions or queries, please contact UiT's research data support group at

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  • New datasets in DataverseNO
  • Replication Data for: The 3-billion fossil question: How to automate classification of microfossils. Read more
  • Replication Data for: Changing species dominance patterns of Boreal-Arctic heathlands: evidence of biotic homogenization. Read more
  • Drifter trajectories in the Fram Strait and Barents Sea. Read more
  • Data of the i-MASTER project: A novel initiative in maritime education and training experience. Read more
  • Replication Data for: Poorer self-reported mental health and general health among first year upper secondary school students do not predict school dropout: a five-year prospective study. Read more
UiT Open Research Data