FAIR principles applied
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 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.
FAIR principles applied in the framework of Geovistory
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.
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 domain.