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.

Contact us
  • New datasets in DataverseNO
  • Respiration and cognition in the lifespan. Read more
  • Replication Data for: Assessing the role of kelp for small-scale fisheries by combining fishers’ knowledge of spawning locations with modelled kelp distribution. Read more
  • Supporting Data for: Assessing the efficiency of ethyl acetate for lipid extraction as an alternative to the Folch method in selected marine low-trophic species. Read more
  • Grunnlagsmateriale for: Praksis og behov i forskningsdatakuratering i Norge. Read more
  • Replication Data for: Sigmatropic rearrangement enables access to a highly stable spirocyclic nitroxide for protein spin labelling. Read more
UiT Open Research Data