
The FAIR publishing toolkit is meant to help either publishers or publishing services to start and achieve a self-assessment of their data collections according to the FAIR principles. The final goal is to increase the data and metadata quality of their contents so that they become more easily and more broadly discoverable. As a self-assessment toolkit, it provides a review grid which does not include any evaluation, especially no automated evaluation of the assessment. It instead supports a manual, but guided, adapted, and open assessment of the FAIR principles implementation. The FAIR publishing toolkit consists of four files: - Introduction: this file explains the purpose and the way to use the different files - Guidelines: this file contains a review grid enriched with guidelines - OpenEdition example: this file contains a review of the OpenEdition Journals platform - Template: this file contains an empty review grid for the users to fill with their own data
| 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 |
