Data publication and archiving


Ontology type: npg:Subject  | skos:Concept     


Concept Info

NAME

Data publication and archiving

DESCRIPTION

Data publication is the process of making information, particularly data generated from research, available to all. Data archiving is the long term storage of such data and methods. In science, publishing and archiving data is important to preserve scientific information for future research.

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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/ontologies/subjects/data-publication-and-archiving'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/ontologies/subjects/data-publication-and-archiving'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/subjects/data-publication-and-archiving'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/subjects/data-publication-and-archiving'


 

This table displays all metadata directly associated to this object as RDF triples.

80 TRIPLES      8 PREDICATES      10 URIs      4 LITERALS

Subject Predicate Object
1 sg:ontologies/subjects/data-publication-and-archiving sgo:license sg:explorer/license/
2 sgo:sdDataset onto_subjects
3 rdf:type npg:Subject
4 skos:Concept
5 rdfs:label Data publication and archiving
6 skos:broader sg:ontologies/subjects/computational-biology-and-bioinformatics
7 skos:definition Data publication is the process of making information, particularly data generated from research, available to all. Data archiving is the long term storage of such data and methods. In science, publishing and archiving data is important to preserve scientific information for future research.
8 skos:inScheme sg:ontologies/subjects/
9 skos:prefLabel Data publication and archiving
10 sg:ontologies/subjects/ dcterms:description The Nature Subjects Taxonomy is a polyhierarchical categorization of scholarly subject areas which are used for the indexing of content by Springer Nature.
11 dcterms:title Nature Subjects Taxonomy
12 sgo:sdDataset onto_subjects
13 rdf:type skos:ConceptScheme
14 skos:hasTopConcept sg:ontologies/subjects/DEPRECATED
15 sg:ontologies/subjects/biological-sciences
16 sg:ontologies/subjects/business-and-commerce
17 sg:ontologies/subjects/earth-and-environmental-sciences
18 sg:ontologies/subjects/health-sciences
19 sg:ontologies/subjects/humanities
20 sg:ontologies/subjects/physical-sciences
21 sg:ontologies/subjects/scientific-community-and-society
22 sg:ontologies/subjects/social-science
23 sg:ontologies/subjects/computational-biology-and-bioinformatics sgo:sdDataset onto_subjects
24 rdf:type npg:Subject
25 skos:Concept
26 rdfs:label Computational biology and bioinformatics
27 skos:altLabel Bio-Informatics
28 Bioinformatics
29 Computational Molecular Biology
30 skos:broader sg:ontologies/subjects/biological-sciences
31 skos:definition Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell populations or protein samples, to make new predictions or discover new biology. The computational methods used include analytical methods, mathematical modelling and simulation.
32 skos:inScheme sg:ontologies/subjects/
33 skos:narrower sg:ontologies/subjects/biochemical-reaction-networks
34 sg:ontologies/subjects/cellular-signalling-networks
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52 sg:ontologies/subjects/image-processing
53 sg:ontologies/subjects/literature-mining
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56 sg:ontologies/subjects/network-topology
57 sg:ontologies/subjects/phylogeny
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75 skos:prefLabel Computational biology and bioinformatics
76 skos:Concept sgo:sdDataset for_codes
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80 skos:Concept
 




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