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Since their publication in 2016, the FAIR Data Guiding Principles (Findable, Accessible, Interoperable, Reusable) have become clear and enabling goals to work towards in any work or policies around data. As metrics have been developed around them, FAIR has become a set of tangible targets for EDI. Here we present an analysis of how EDI's metadata align with FAIR principles.
FAIR data, open science, open data, data repository, Environmental Data Initiative, Ecological metadata language
FAIR data, open science, open data, data repository, Environmental Data Initiative, Ecological metadata language
| 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 |
| views | 2 | |
| downloads | 5 |

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