Implementation & Adoption Stories

The FAIR-IMPACT Implementation stories illustrate good practices in research communities and organisations to support the implementation of the FAIR principles.

Implementation Story
ImplementationStoryCover_FAIR Signposting for current and future versions of the Tunisian portal for research outputs
FAIR signposting and RO-Crate
CNDUST implemented signposting Level 1 on PIST, which is the first Tunisian repository developed based on Invenio’s legacy version. Implementation of Signposting Level 2 on InvenioRDM was explored and started by one of the project partners.
Implementation Story
FI_ImplementationStory Cover_Navigating FAIR Waters: A Journey of Transformation for Radboud University’s Data Repository
FAIRness Asssement Challenge
A team from Radboud University’s Research Data Repository used FDMM and F-UJI to assess the FAIRness of their service and as a starting point to create an action plan to improve it.
Implementation Story
ImplementationStoryCover_Implementing FAIR signposting
FAIR Signposting and RO-Crate
The University of Novi Sad software research infrastructure development team implemented FAIR Signposting level 1 to improve the machine readability of their in-house developed platform for research outputs and information.
Implementation Story
ImplementationStoryCover_Implementing FAIR signposting to Eurac
FAIR Signposting and RO-Crate
With the aim to improve the machine actionability of their Environmental Data Platform, a team from Eurac Research implemented signposting on their catalogue of geospatial datasets using a link set document.
Implementation Story
ImplementationStoryCover_FAIRness Assessment of Generations and Gender
FAIRness Asssement Challenge
A team involved in the Generations and Gender Programme tested F-UJI, FDMM and SHARC to assess the FAIRness of their longitudinal panel survey dataset.
Implementation Story
ImplementationStoryCover_F-UJIforFAIRnessAssessment
FAIRness Assessment Challenge
The team from the Gdansk University of Technology Library and IT Center carried out a FAIRness assessment of datasets from their institutional multidisciplinary research data repository using the F-UJI tool with two goals in mind: increasing the FAIRness of the repository and learning about a tool that could be used to teach Ph.D. students about FAIR data and FAIRness assessments practically and visually.