Baroque TOC: Publishing from Collections Using Computational Publishing and Linked Open Data

Computational publishing allows executable code, visualisations, and advanced media objects to coexist alongside conventional text in a document. The focus of the project is to access a variety of distributed linked open data sources and media using Jupyter Notebooks stored on a Git repository, and then to render the publication as multi-format, as: web, PDF, eBook, Paged Media CSS, as executables, and as interoperable sources. The remote LOD and media sources are: Wikidata, Wikibase, Fidus Writer, Nextcloud, Semantic Kompakkt, TIB AV Portal, Thoth, and ORCiD. Made with free and open source software. Prototype publications: An exhibition catalogue: nfdi4culture.github.io/experimental-books-workshop/ A publishers catalogue: simonxix.github.io/scholarled_catalogue/ Workshop programme: nfdi4culture.github.io/workshop-publishing-from-collections/

Keywords

ada, compim, computational publishing, nfdi4c

Impact byBIP!

	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