
E-RIHS (European Research Infrastructure for Heritage Science), is an initiative that supports the research, conservation, and management of cultural heritage through advanced scientific resources and methodologies, fostering collaboration among European institutions and enhancing knowledge and preservation of heritage assets. E-RIHS will provide access to distributed research facilities, archives and data to advance heritage science. The E-RIHS Knowledgebase, based on the Cordra system, capturing the key metadata describing details of the services offered under E-RIHS and the research work carried out through and related to these services is being developed. A key component of this work is the use of shared terms and descriptions to describe tag and group the stored information. All of these shared terms are being gathered together within the E-RIHS Vocabulary Server, based on the OpenTheso System. The software presented within this repository has been put together to simplify and reformat the data that can be pulled from the E-RIHS Vocabulary Server API so that it can be easily integrated into the various schema documents used to defined all of the entities modeled with the E-RIHS Knowledgebase, details of these schema can also be found within the E-RIHS Schema GitHub repository
| 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 |
