
Despite covering specific scientific disciplines, all NFDI consortia share similar concepts such as organizations, people, institutions, areas of expertise, data repositories, projects, data sets, and research (meta)data, just to name a few. When interconnected, such information has the potential to open up new research horizons. To achieve this, however, the data needs to be available as linked open data (LOD). Hence a comprehensive workflow, which includes data discovery, harvesting, preprocessing, mapping, and integration into a knowledge graph is required, which is the topic of the present work.
NFDI, ETL, semantic web, knowledge graph, research data management, ontology, cultural heritage, infrastructure, harvesting, Linked Open Data, FAIR
NFDI, ETL, semantic web, knowledge graph, research data management, ontology, cultural heritage, infrastructure, harvesting, Linked Open Data, 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 |
