Implementation & Adoption Stories

This project consisted of first evaluating the FAIR level of the existing OCTOPUS software and then improving its FAIRness by following the main recommendations of the FAIR-IMPACT project.

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.

Participants from the Medical Informatics Laboratory at the University Medicine Greifswald and the Berlin Institute of Health in Germany sought guidance for using FAIR tools to undertake a FAIR assessment and improve the FAIRness of their Core Dataset, used within the German Medical Informatics Initiative.

Participants set out to explore implementations that allow the setting up of a data repository for Spanish research institutions that complies with the FAIR principles. During the opencall period, the team managed to install a Dataverse instance in the staging environment and check the FAIR Signposting and RO-Crate functionalities.

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.

In Luxembourg, LNDS provides services that support value creation through reuse of data made available by public sector organisations and research institutions. The initial plan the LNDS team had when enrolling in the program was to learn from the best practices of others on how support entities can grow national-level maturity in the adoption of FAIR data management and stewardship. LNDS is in the process of shaping its service portfolio, and in line with this as a second objective, they wanted to have an action plan that aligns with their service development roadmap and can be disseminated to the relevant national stakeholders.

The team of participants from the German National Library of Medicine (ZB MED - Information Centre for Life Sciences) applied FAIR Signposting and RO-Crate to the team’s web pages as a proof-of-concept for later developments. The team web pages now support FAIR Signposting and RO-Crate for projects and theses, with the next step being implementation for software.

The team of participants from LIBIS at KU Leuven sought to implement signposting and RO-Crate integration in Dataverse (import and export). Since signposting was implemented in Dataverse before the start of the support action, focus shifted to implementing available features within the Dataverse instance.