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The Artsdata Databus uses the [http://dataid.dbpedia.org/ns/core.html#](http://dataid.dbpedia.org/ns/core.html#) ontology.\n\n> \"The Databus breaks existing pipelines into individual components that together form a decentralized, but centrally coordinated data network. \n  \n> The Databus provides a platform for re-publishing these files with very little effort while offering the full benefits of built-in system features such as automated publication, structured querying, automatic ingestion, as well as pluggable automated analysis, data testing via continuous integration, and automated application deployment ​(software with data)​. The impact is highly synergistic, just a \\[small group of\\] professional consumers and research projects can expose millions of cleaned datasets, which are on par with what has long existed in deep silos and pipelines. \n  \n> \\[In the arts sector,\\] open data providers without an income model normally do not have the resources to accommodate all user needs. Databus allows consumers to re-publish patched data or community extensions, which can be picked up by publishers from the bus to complement their data. These “Derive” processes are fully automatable and keep provenance metadata (prov:wasDerivedFrom). New versions can be detected by querying the Databus, and processors can run and publish derivatives in third-party storage. Different from pipelines, ​Derive operations form a data network where effort and value is discoverable and can flow freely through the network up to the sources in a trickle-up manner.\" - [DBpedia 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