Data production according to FAIR principles is a core element in Geovistory.
The FAIR principles can be defined as follows :
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 integrated with other data. 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 how each dimension of the FAIR principles is applied in Geovistory.
In addition, upon completion of its research, projects will be able to opt for a longterm preservation of its data in a longterm archiving storage such as Zenodo or OLOS. The preservation process includes the attribution of a DOI.
Data produced in Geovistory is accessible for humans and machines. For this, the data will be published in the near future on a SPARQL-Endpoint.
The human interface will be integrated into Geovistory in a module accessible for anyone without requiring a login.
Data produced within Geovistory is native semantic data. For this, the data model of Geovistory builds on the semantical classes of the ISO-normed ontology CIDOC-CRM and its extension for the historical domaine.
Learn here more about ontologies in Geovistory.
This means that the data is free to be reused by other projects. Given the 'one repository' structure of Geovistory, all projects can build on each other taking advantage of previously produced entities.
 GO FAIR (2020). FAIR Principles. https://www.go-fair.org/fair-principles/ last visited 17.10.2020