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Aim: overviewing the industrial ecosystem of openly available COVID-19 data, its enablers and users as well as the core value chain provided by the BeYond-COVID (BY-COVID) project. BeYond-COVID (BY-COVID) aims to provide comprehensive open data and analysis tools on SARS-CoV-2, and other infectious diseases across scientific, medical, public health and policy domains. The project has a strong emphasis on mobilising raw viral sequences, helping to identify and monitor the spread of SARS-CoV-2 variants. It further accelerates access to and linking of data and metadata on SARS-CoV-2 and COVID-19 (e.g., public health data, data on patient outcomes), enables federated data analysis to conform with data protection regulations, and harmonisation and management of meta-data and sample- identifiers, as well as long-term cataloguing to ensure interoperability of national and global efforts.
BY-COVID, industrial ecosystem, data, SARS-CoV-2, open, COVID-19
BY-COVID, industrial ecosystem, data, SARS-CoV-2, open, COVID-19
| 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). | 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 |
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