The Databus Ontology provides a model for version-centric data management and enables efficient organization and retrieval of datasets. The Databus Ontology supports version tracking, retrieval of different dataset versions, and efficient organization of data artifacts. It allows for seamless collaboration and consumption of data, and facilitates the management and categorization of datasets. The Databus Ontology is aligned and meant to be used in combination with the DataID ontology, DCAT, Prov-O and Dublin Core. * Databus Model Overview * The Group class allows users to organize and categorize data by grouping related artifacts, facilitating collaboration and data consumption across projects. The Artifact class represents a logical dataset and maintains a stable reference across different versions and variants of the dataset. The Version class represents a specific version of an artifact and is associated with one or more distributions (parts). The Part class represents a dataset distribution that contributes to a version by adding information. The Collection class enables users to create data catalogs and organize related datasets. * Feedback * If you d like to leave feedback, please open an issue on GitHub (https://github.com/dbpedia/databus/issues).