The FAIR-IMPACT Implementation stories illustrate good practices in research communities and organisations to support the implementation of the FAIR principles.
Implementation Story
FAIRness Asssement Challenge
A team from Eurac Research assessed the FAIRness of a dataset hosted in their Environmental Data Platform using F-UJI and an ontology using O’FAIRe. After an initial low score in F-UJI, they implemented signposting to improve the machine interoperability of their metadata catalogue.
Implementation Story
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
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
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
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
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
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.