FAIR principles applied

Data production according to FAIR principles is a core element in Geovistory.

The FAIR principles can be defined as follows [1]:

Findable The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers. [...]

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

Interoperable The data usually need to be complemented by or compared to other data, therefore they need to be compatible. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.

Reusable The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.

In the framework of Geovistory, the FAIR principles are applied as visualized above. Find below a more detailed description of how each dimension of the FAIR principles is applied in Geovistory.

Each entity and project in Geovistory has a unique and persistent URI that allows to identify and find it.

In addition, upon completion of its research, each project will be able to opt for a long term preservation of its data in a long term archiving storage such as Zenodo or OLOS. The preservation process includes the attribution of a DOI.

[1] GO FAIR (2020). FAIR Principles. https://www.go-fair.org/fair-principles/ last visited 17.10.2020

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