KleioLab is a Basel-based IT start-up with a focus on digital history and has developed the virtual research environment Geovistory (https://www.geovistory.com/home), which aspires to be a user-oriented tool for FAIR research data production serving at the same time as an open research data repository.
Geovistory is currently in beta phase and freely available to researchers for testing. Geovistory is an innovative web platform for research projects in the humanities and - specifically – history. It was developed according to the participatory method of "user experience design". Geovistory intends to support researchers as a digital tool in an innovative and easily accessible way, additionally allowing making their research accessible to the broader public in an attractive manner. To this end, Geovistory digitally maps the entire research process; from the collection of sources, to information extraction, management of project-specific vocabularies, the creation of information networks and the (spatial) analysis of research data, to the publication of the results. In order to produce open and reusable data according to the FAIR criteria, the data model is based on the CIDOC-CRM standard (ISO 21127:2014). This digital research process is integrated with the collaborative “Ontology Management Environment” OntoME (https://ontome.dataforhistory.org/), which is operated by the “Laboratoire de recherche historique Rhône-Alpes” (Lyon) within the Data for History Consortium (http://dataforhistory.org/).
In the offered workshop, we would like to give interested people the opportunity to get a hands-on insight into the working methods of Geovistory exploring to what degree Geovistory produces FAIR research data and what questions remain to be answered. After a short introduction, we will dive into a test project together. Participants will have the opportunity to get to know the different modules and functionalities of Geovistory and if desired to deepen their knowledge after the workshop. The workshop will be concluded by a discussion on FAIR data production in the context of a virtual research environment.