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Format description of the event cycle on Covid-19 data sharing. The event series is intended to offer the participants a deep understanding of the motivations behind the sharing of data and other research results (publications, software, etc), and how they can perform it in a simple way. The format can be reused and adapted for a similar event cycle. This record is a work in progress and it will be updated as tutorials and webinars will be carried out.
Open Access, FAIR data, Open Science, Open Data, Covid-19, Coronavirus Disease Research Community - COVID-19 Open Science in Italy
Open Access, FAIR data, Open Science, Open Data, Covid-19, Coronavirus Disease Research Community - COVID-19 Open Science in Italy
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 |
views | 8 | |
downloads | 2 |