Research data portal

Data archiving and archive selection are key elements in making your data FAIR. To make data more findable, select an archive that provides persistent identifiers (e.g., DOI or Handle) and ensures that the data is indexed in relevant search services (eg DataCite Commons and Google Dataset Search). The data will be more accessible if you choose an archive that includes criteria for securing access to a data set, uses standardized protocols and allows authorization procedures where appropriate. These features are seen in the majority of trustworthy archives. You can verify this by visiting the archival register re3data.org (find an archive, you will then find information in the tabs "Terms" and "Standards").

There are several archive services for research data. Here are some tips on how to choose the right archive for your data:

1. In some cases, the funder or journal has a requirement to use a specific repository.
2. Use a repository already established for your research domain to preserve the data following the standards in your discipline. In order to find a subject-specific repository, you can use the repository registry re3data. 
3. If you are a researcher at UiT, you can archive your data in UiT’s institutional repository for open research data, DataverseNO, which is CoreTrustSeal-certified as a trustworthy and sustainable repository, ensuring the long-term preservation of archived data. Here, each dataset is assigned a DOI and an automatically generated reference for use in publications. Data archived in the repository will become searchable in discovery services like Google Dataset Search. The repository also has version control, whereby all changes made in the dataset after initial publication are registered and made visible. More information and user guides can be found on this info page: https://info.dataverse.no/.
4. For data containing personally identifying information, we advise you to use Sikt’s repository.
5. For large data, we advise you to use the Sigma2 Research Data Archive.

More information on which criteria to search for when selecting an archive may be found in these OpenAIRE and Science Europe tutorials.

Before archiving your data, you should format and document it according to best practices, regardless of the archive you use. More information can be found on in DataverseNO's archiving guide. We strongly advise you to always use ORCID.

Support and training
Contact us at researchdata@hjelp.uit.no to get help finding a suitable archive

If you'd want to learn more about archiving research data, a webinar on the subject is held each semester. There will also be a webinar on how to archive in DataverseNO. You can browse handouts and materials from previous courses in the RDM Training @ UiT Zenodo collection.

Data stored by senior academics who are nearing the end of their careers are most at risk of being lost to future research. The senior research data project's goal is to ensure that valuable research data is not lost when a senior researcher retires, as well as to make the data usable for others.

The senior data project assists individual researchers in preparing research data for safe and long-term storage, as well as making it available for further research. We work together with faculties and departments to determine which researchers and research data are prioritized. UiT provides storage capacity, allowing data to be transferred from vulnerable storage media to safe, long-term storage. At the same time, we assist the project in describing the data foundation and, where appropriate, we facilitate future open access and publication. As a result, many people tend to use UiT's open data archive, DataverseNO.

As long as our capacity allows, we assist senior researchers from all faculties and units of UiT. So, don't hesitate to contact the Senior Project - it will pay off!

Send an email to researchdata@hjelp.uit.no.