standards > model/format > bsg-s001214


ready JavaScript Object Notation for Linking Data

Abbreviation: JSON-LD


General Information
JSON-LD is a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. JSON-LD is a concrete RDF syntax. A JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets.

Homepage https://json-ld.org/spec/latest/json-ld/

Countries that developed this resource Worldwide

Created in 2010

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Awaiting DOI assignment.


Record added: May 21, 2018, 2:10 p.m.
Record updated: Nov. 23, 2018, 11:27 a.m. by The FAIRsharing Team.




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Applies to: Data use




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Implementing Databases (3)
Zenodo
Generalist research data repository built and developed by OpenAIRE and CERN, to ensure that everyone can join in Open Science.

Extracellular RNA Atlas
The exRNA Atlas is the data and metadata repository of the Extracellular RNA Communication Consortium (ERCC), an NIH Common Fund initiative to learn more about exRNAs in a variety of different contexts. The exRNA Atlas includes small RNA sequencing and qPCR-derived exRNA profiles from human and mouse biofluids. All RNA-seq datasets are processed using version 4 of the exceRpt small RNA-seq pipeline. ERCC-developed quality metrics are uniformly applied to the datasets. The exRNA Atlas accepts submissions for RNA-seq or qPCR data.

e-cienciaDatos
e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.

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