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.

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.

Findable

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.

Accessible

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.

Interoperable

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.

The ontology is not managed within Geovistory, but on a community-driven ontology management tool OntoME, which is operated by LARHRA in Lyon.

Learn here more about ontologies in Geovistory.

Reusable

All research data produced within Geovistory is licensed under the Create Commons license CC BY-SA 4.0, as detailed in the terms of service.

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.

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