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 researchdata@hjelp.uit.no.

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  • New datasets in DataverseNO
  • Replication Data for: Sigmatropic rearrangement enables access to a highly stable spirocyclic nitroxide for protein spin labelling. Read more
  • Background data for: Prehospital prediction of clinical course in patients with suspected sepsis. Read more
  • Replication Data for: Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?. Read more
  • Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts. Read more
  • Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea. Read more
UiT Open Research Data