This document specifies a method of organising file-based data with associated metadata, known as DataCrate in both human and machine readable formats, based on the schema.org linked-data vocabularly, supplemented with terms from the SPAR ontologies and [PCDM] where schema.org does not have coverage. The motivation for this work comes from the research domain.
A DataCrate is a dataset a set of files contained in a single directory. There are two ways of organizing a DataCrate.
For working data or data that does not need to be distributed with checksums, a Working DataCrate is a plain-old directory containing payload data files, with two metadata files at the root; one for humans and one for machines.
For distribution, or archiving; where integrity is important, a Bagged DataCrate is a BagIt bag conforming to the DataCrate BagIt profile with the payload files in the /data directory. A Bagged DataCrate has a clear separation between metadata and payload, and can be integrity-checked using the checksums in the BagIt manifest.
The 'German Network for Bioinformatics Infrastructure – de.NBI' is a national, academic and non-profit infrastructure supported by the Federal Ministry of Education and Research providing bioinformatics services to users in life sciences research and biomedicine in Germany and Europe. The partners organize training events, courses and summer schools on tools, standards and compute services provided by de.NBI to assist researchers to more effectively exploit their data.
Decentralized identifiers (DIDs) are a new type of identifier that enables verifiable, decentralized digital identity. A DID refers to any subject (e.g., a person, organization, thing, data model, abstract entity, etc.) as determined by the controller of the DID. In contrast to typical, federated identifiers, DIDs have been designed so that they may be decoupled from centralized registries, identity providers, and certificate authorities. Specifically, while other parties might be used to help enable the discovery of information related to a DID, the design enables the controller of a DID to prove control over it without requiring permission from any other party. DIDs are URIs that associate a DID subject with a DID document allowing trustable interactions associated with that subject.
The Library of Congress and its digital preservation partners from the federal, library, creative, publishing, technology, and copyright communities are working to develop a national strategy to collect, archive, and preserve digital content.
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)
European Research Community on Flow, Turbulence and Combustion Database. This classic collection of test cases for validation of turbulence models started as an EU / ERCOFTAC project led by Pr. W. Rodi in 1995. It is maintained by Dr. T. Craft at Manchester since 1999. Initialy limited to experimental data, computational results, and results and conclusions drawn from the ERCOFTAC Workshops on Refined Turbulence Modelling (SIG15).
Calcyte is (will be) a toolkit for managing metadata for collections of content
via automatically generated spreadsheets and for creating static HTML repositories.
Calcyte targets the Draft DataCrate Packaging format v0.2.
At this stage Calcyte does not Bag content, it jsut creates Working DataCrates.
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