JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/O35000", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Professional and Vocational Education", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/W37000", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Labor Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/X22020", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Organizational Studies, Economic Sociology", 
        "type": "DefinedTerm"
      }
    ], 
    "contentRating": [
      {
        "author": "snip", 
        "ratingValue": "0.734", 
        "type": "Rating"
      }, 
      {
        "author": "sjr", 
        "ratingValue": "0.357", 
        "type": "Rating"
      }
    ], 
    "description": "
The main focus of this journal is to provide a platform for original empirical investigations in the field of professional, vocational and technical education, comparing the effectiveness, efficiency and equity of different vocational education systems at the school, company and systemic level. The journal fills a gap in the existing literature focusing on empirically-oriented academic research and stimulating the interest in strengthening the vocational part of the educational system. Contributions published in this journal cast new light on a broad range of topics related to teaching and learning in vocational education, such as pedagogy practices, apprenticeship, competence development, validation of test instruments and assessment, professional challenges with certain labour-market conditions, and classroom experience. Offering evidence and reports from basic education and training to continuous or adult learning, Empirical Research in Vocational Education and Training will appeal not only to academics and researchers in the field of vocational education, but also to policy-makers, policy planners and administrators, school-leaders and trainers.
Empirical Research in Vocational Education and Training is an initiative of the Swiss State Secretariat for Education, Research and Innovation (SERI), in collaboration with the German Federal Institute for Vocational Education and Training (BiBB).\u00a0The publication costs for Empirical Research in Vocational Education and Training are covered by Staatssekretariat f\u00fcr Bildung, Forschung und Innovation (SBFI), Bern, Switzerland, so authors do not need to pay an article-processing charge. 
", 
    "editor": [
      {
        "familyName": "Wolter", 
        "givenName": "Stefan", 
        "type": "Person"
      }
    ], 
    "id": "sg:journal.1136011", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "issn": [
      "1877-6337", 
      "1877-6345"
    ], 
    "license": "Fully Open Access", 
    "name": "Empirical Research in Vocational Education and Training", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "136011"
        ]
      }, 
      {
        "name": "springer_id", 
        "type": "PropertyValue", 
        "value": [
          "40461"
        ]
      }, 
      {
        "name": "scopus_id", 
        "type": "PropertyValue", 
        "value": [
          "21100208067"
        ]
      }, 
      {
        "name": "nsd_ids_id", 
        "type": "PropertyValue", 
        "value": [
          "484144"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer International Publishing", 
      "type": "Organization"
    }, 
    "publisherImprint": "Springer", 
    "sameAs": [
      "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1136011"
    ], 
    "sdDataset": "journals", 
    "sdDatePublished": "2021-01-19T05:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "file:///pack/app/journals_20190313_sn_only.jsonl", 
    "startYear": "2013", 
    "type": "Periodical", 
    "url": "http://ervet-journal.springeropen.com/"
  }
]

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

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

68 TRIPLES      21 PREDICATES      29 URIs      22 LITERALS      9 BLANK NODES