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This deliverable is the blueprint of the requirements needed to make European life science research data and infrastructures Findable, Accessible, Interoperable and Reusable according to the FAIR Principles. This first deliverable (i) focuses on database resources such as data repositories and knowledge bases, as well as (meta)data standards and data policies. In particular, how the FAIRsharing service helps and (ii) lays the groundwork for making datasets FAIR. The FAIRification efforts will be based on the diversity of the proposed datasets of the project, in order to set up a FAIRification methodology suitable for any type of data in life sciences. This work will be tackled by subsequent deliverables via guidance from the FAIRassist tool.
FAIR data, FAIR principles, FAIRification methodologies, Life Science data
FAIR data, FAIR principles, FAIRification methodologies, Life Science data
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 | 62 | |
downloads | 33 |