DataCite, CrossRef und mEDRA lieferen auf Anforderung Metadaten zu einer DOI in verschiedenen Formaten zurück: RDF XML (application/rdf+xml), RDF Turtle (text/turtle), Citeproc JSON (application/vnd.citationstyles.csl+json), Formatted text citation (text/x-bibliography), BibTeX (application/x-bibtex),
DataCite und CrossRef: RIS (application/x-research-info-systems)
Nur DataCite: Schema.org in JSON-LD (application/vnd.schemaorg.ld+json), DataCite XML (application/vnd.datacite.datacite+xml)
Nur CrossRef: CrossRef Unixref XML (application/vnd.crossref.unixref+xml)
Nur mEDRA: ONIX for DOI (application/vnd.medra.onixdoi+xml)
Ask biological questions, get computational answers, choose the right tool to analyze your data. OMICtools bridges the gap between life science and computational biology.
This paper introduces application profiles as a type of metadata schema. We use application profiles as a way of making sense of the differing relationship that implementors and namespace managers have towards metadata schema, and the different ways they use and develop schema. The idea of application profiles grew out of UKOLN's work on the DESIRE project (1), and since then has proved so helpful to us in our discussions of schemas and registries that we want to throw it out for wider discussion in the run-up to the DC8 Workshop in Ottawa in October.
The WAND Engineering Taxonomy includes over 1,200 terms and 165 synonyms.
Top Level terms include Engineering Design Process, Engineering Documents, Engineering Drawings, Engineering Fields, Engineering Materials, as well as Engineering Standards and Codes Organizations.
The WAND Engineering Taxonomy provides a strong foundation for any enterprise that needs to tag and organize documents related to the field of engineering.