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The EOSC-Nordic FAIRification initiative team (http://eosc-nordic.eu) defined a sample size of about 100 data repositories, for which they evaluated the FAIRness of their (meta)data, with the aim to guide and coach the repositories, over time, to a higher level of FAIRness. The guiding and coaching were done via a number of webinars, whereby they selected specific topics that contributed to a lower FAIRness score for a substantial part of the sample and where they felt improvements could be achieved. Soſtware to perform automated evaluations proved to be a good tool to evaluate the FAIRness of the findable metadata and data of repositories. For this purpose the team decided to embrace the F-UJI evaluator designed by the University of Bremen and Pangaea as part of one of the work-packages of FAIRsFAIR (https://www.fairsfair.eu/f-uji-automated-fair-data-assessment-tool) as the standard assessment tool for the EOSC-Nordic FAIRification initiative.
Data repositories, metadata, F-UJI, FAIR
Data repositories, metadata, F-UJI, FAIR
| selected citations These citations are derived from selected sources. 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). | 1 | |
| 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 |
| views | 16 | |
| downloads | 11 |

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