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The ontologics package provides tools to build and work with an ontology of linked (open) data in a tidy workflow. In the current workflow, the data are only available at the three-star level in comma-separated values tables or an R-optimized *.rds file of such a table. The type of ontology is inspired by the FAO caliper platform and uses the Simple Knowledge Organisation System (SKOS). An ontology is any data structure that stores the concept of any knowledge field in a linked way. It is typically built on a set of standardized/harmonized terms that have a clear definition and potentially some attributes. According to the SKOS, concepts can have semantic relations or can be mapped to one another. Semantic relations describe how harmonized concepts relate to one another, and mappings describe which concepts from different vocabularies should be linked. The key tasks beyond creating a formally valid ontology are extracting concepts and their relation to other concepts and mapping new concepts to an existing ontology to capture and set potentially deviating definitions into relation.
| 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 | 13 |

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