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How to move from FAIR principles to FAIR practice? During the past year, the FAIR practice task force under the umbrella of the EOSC FAIR Working Group has been gathering its understanding of the current state of FAIR practices across diverse communities, and making recommendations aimed primarily at research funders and policymakers on how to ensure that “FAIR” provides maximum value in the European Open Science Cloud. During a webinar on July 9, 2020 the outputs produced by the task force were demonstrated and launched for community consultation. In this data set you will find the slide deck used in the webinar. Relevant associated documents: Reference list: DOI: 10.5281/zenodo.3898673 and also available as google sheet The recommendations document: DOI 10.5281/zenodo.3904139 and also available as google doc Contributions are solicited until August 31, 2020, preferably in the form of comments on the google doc and google sheet.
EOSC, Research Practice, Data Practice, FAIR
EOSC, Research Practice, Data Practice, 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). | 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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