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Slides from our mini-workshop at CW24. Abstract: A comprehensive set of metrics have been developed by the FAIR IMPACT project to assess the FAIRness (Findability, Accessibility, Interoperability and Reusability) of research software based on the FAIR4RS principles. We extended the data FAIR assessment tool F-UJI (https://github.com/pangaea-data-publisher/fuji) with tests for these software-specific metrics. Some of these tests have been designed to be discipline-specific, as we expect different communities to implement each metric in ways that represent their community norms and standards. In this session, we will demonstrate the tool and focus on a handful of metrics. We will discuss what practical tests for these metrics should look like for different disciplines. Your contributions will shape the implementation of further discipline-specific tests in F-UJI, and after the workshop, you will have a better understanding of how to make your software FAIR.
CW24, FAIR
CW24, FAIR
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |