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Building upon an analysis of the research data practice landscape in 2019, FAIRsFAIR has prepared a series of recommendations for practical actions to support the realisation of a FAIR ecosystem. These recommendations will be used to inform the development of guidance resources to support further adoption of FAIR data standards and practices by research communities. They are released as a living document that will be refined to reflect the forthcoming work in FAIRsFAIR, other projects funded under the INFRAEOSC-05-2018-2019 call, and other relevant initiatives. We are very grateful to all who commented on the draft during its consultation period to 30 August. The comments will inform further work within FAIRsFAIR.
data interoperability, data stewardship, research data management, FAIR
data interoperability, data stewardship, research data management, FAIR
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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 | 68 | |
downloads | 51 |