Data availability

Data management (data curation, archiving, and sharing) are central to FROST’s scientific vision.

Our team is developing a data portal to make all research outputs FAIR (Findable, Accessible, Interoperable, and Reusable). Traditional Ecological Knowledge will remain the property of the knowledge holders. All data will be stored and shared in accordance with ethical protocols and community agreements. The portal, currently under construction as part of a postdoctoral initiative, will ensure that FROST data are openly available through recognized repositories, enhancing the transparency, visibility, and impact of our research across the Arctic.

FAIR

FAIR Principles

Findability

Metadata and data should be easy to find for both humans and computers. Machine-readable metadata are essential for automatic discovery of datasets and services.

Accessibility

Once the user finds the required data, she/he/they need to know how they can be accessed, possibly including authentication and authorisation

Interoperability

The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.