“F-UJI is helping to guide us on the path to responsible FAIR data publication, where FAIRness is not just an aspiration but a measurable reality", Robert Huber, developer of F-UJI, Bremen University, Germany.
The FAIR principles, formulated in 2016, have provided guidelines for the management of scientific data and led to the development of various evaluation tools like FAIR Evaluation Services and FAIR-Checker. One of the tools we use most at DeiC is F-UJI, developed under the FAIRsFAIR projekt and now being further developed in FAIR-Impact.
The recently updated F-UJI tool allows users to evaluate the FAIRness of their datasets using domain-specific metrics. This is crucial, as different disciplines often have their own interpretations of the FAIR principles, which can affect the outcome of an evaluation.
In the latest update of F-UJI, special emphasis has been placed on social sciences and humanities (SSH), where domain-specific metrics have been developed based on best practice documents and analyses of SSH publications. The metrics ensure that the assessment of datasets within SSH takes into account discipline-specific requirements and needs.
The project behind the F-UJI tool update, FAIR-Impact, will continue to develop domain-specific metrics and standards for other research areas such as geosciences and environmental sciences in the upcoming phases.
“This update of the F-UJI tool represents a significant step forward in ensuring that datasets from different disciplines can be assessed in a fair and accurate manner, which is crucial for future research and knowledge sharing,” says Hannah Mihai, Data Management Consultant, DeiC.
Want to get started with F-UJI? Access the tool here: https://www.f-uji.net/index.php
Learn more about the FAIR principles here: The FAIR Guiding Principles for scientific data management and stewardship
