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By creating and sharing a structured version of your data policy, you are helping to ensure that your policy is itself findable, accessible, interoperable and reusable (FAIR). You will also help make ongoing assessments of the policy landscape such as those outlined in the EOSC Strategic Research and Innovation Agenda (SRIA) more comparable and efficient. This guide walks users through creating a structured version of their data policy using the FAIRsFAIR policy structured description template (https://doi.org/10.5281/zenodo.6225938) and suggests how they can make this structured description accessible.
FAIRsFAIR, data policy, machine-readable, policy monitoring, European Open Science Cloud (EOSC), structured, FAIR
FAIRsFAIR, data policy, machine-readable, policy monitoring, European Open Science Cloud (EOSC), structured, 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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