Implementation & Adoption Stories

This FAIR Implementation Story outlines the specific aims and actions of Simula Research Laboratory in relation to their participation in one or both support actions.

This FAIR Implementation Story outlines the specific aims and actions of Ss. Cyril and Methodius University in Skopje in relation to their participation in one or both support actions.

This FAIR Implementation Story outlines the specific aims and actions of the Semantic Technologies team at ZB MED Information Centre for Life Sciences in relation to their participation in one or both support actions.

With the aim to enhance the FAIRness of a similarity searching tool in life sciences, we implemented improvements for the AlphaFind4 research software and data, while sharing the experience with implementers of the EOSC-CZ project.

This FAIR Implementation Story outlines the specific aims and actions of the University of Glasgow in relation to their participation in one or both support actions.

This FAIR Implementation Story outlines the specific aims and actions of IFREMER in relation to their participation in one or both support actions.

Bioinformatics and Systems Biology lab is a young group established in 2024 at Brno University of Technology. As one of the few truly interdisciplinary labs combining computer science expertise with its own experimental laboratories worldwide, we aim to develop research software for microbiologists, biotechnologists, and molecular biologists. We joined the ‘Assessing the FAIRness of Software’ support action to understand better how to assess and improve the FAIRness of our research software.

In this action, we used F-UJI to assess our package (pybamm-param) and implemented all the essential (and most of important) RSMD guidelines.

This FAIR Implementation Story outlines the specific aims and actions of the University of Glasgow in relation to their participation in one or both support actions.

This FAIR Implementation Story outlines the specific aims and actions of Leipzig University in relation to their participation in one or both support actions.

This FAIR Implementation Story outlines the specific aims and actions of Utrecht University in relation to their participation in the Implementing the Research Software MetaData (RSMD) Guidelines - Path 2 - OC-RSMD-07.

This FAIR Implementation Story outlines the specific aims and actions of The Ersilia Open Source Initiative in relation to their participation in one or both support actions.

Software plays a crucial role in academic research, not only as a tool for data analysis but also as a research outcome or result, or even the object of research itself. FAIR (Findable, Accessible, Interoperable, Reusable) research software can increase the transparency, reproducibility, and reusability of research. For this to happen, software needs to be well-described (by metadata), inspectable, documented and appropriately structured so that it can be executed, replicated, built upon, combined, reinterpreted, reimplemented, and/or used in different settings.

A team from the British Oceanographic Data Centre tested different methods and tools (10 simple rules, recommendations for FAIR semantics, O’FAIRe, FOOPS!, and F-UJI) in the task of assessing the FAIRness of their controlled vocabulary.

A researcher from the Life Cycle Assessment (LCA) domain assessed the FAIRness of one of their datasets using F-UJI and an ontology using FOOPS! and FAIRsFAIR Semantic Recommendations, as part of broader ongoing efforts to understand the level of FAIRness in the LCA domain and gain insights to define good practice workflows for data sharing.

A team from FIZ Karlsruhe - Leibniz Institute for Information Infrastructure used F-UJI to assess the FAIRness of representative datasets from the RADAR4Chem repository, which helped them identify some improvements and inspired them to include a FAIRness check functionality in their repository.

A team from the Medical University of Gdansk (MUG) Main Library increased the FAIRness and machine readability of their repository datasets with the help of the F-UJI tool.

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.

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.

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.

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.