
Maintaining SKOS vocabularies collaboratively is hard. RDF/turtle syntax intimidates domain experts. Manual validation is error-prone. Tracking changes and discussions scattered across emails is chaotic. Result? Many communities avoid creating controlled vocabularies altogether. We built an open-source toolkit that simplified the process: contributors edit terms in Excel spreadsheets, submit via GitHub pull requests, and automated workflows handle everything else – SKOS conversion, SHACL validation, documentation generation, and publishing with persistent URIs and content negotiation. Why Excel? Familiar to everyone. Why GitHub? It provides version control with complete history tracking, structured discussions via issues/PRs, free hosting, automatic Zenodo publishing and increasingly, built-in AI assistance for contributors and maintainers. The toolkit (Python package + repository template) is domain-agnostic – originally developed for a catalysis vocabulary, but reusable by any community.
| 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 |
