{"id":39748,"date":"2026-08-12T17:55:23","date_gmt":"2026-08-12T15:55:23","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=39748"},"modified":"2026-08-12T18:01:31","modified_gmt":"2026-08-12T16:01:31","slug":"39748","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/39748\/","title":{"rendered":"European Union Agency for Railways (ERA) available in the candidates repository"},"content":{"rendered":"<p><a href=\"https:\/\/github.com\/smart-data-models\/Candidates\">Smart Data Models&#8217; Candidates repository<\/a> now includes four new candidate standards translated from the European Union Agency for Railways (ERA) Ontology v3.3.3 \u2014 the shared data model behind the EU&#8217;s four railway interoperability registers. Together they bring 74 entity types covering the physical rail network, authorised rolling stock, certification records, and individual vehicles into the NGSI-LD \/ NGSI-v2 world.<\/p>\n<p><a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/era-eradis\">era-eradis<\/a>: 14 candidate models from ERA ERADIS v3.3.3<br \/>\n<a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/era-eratv\">era-eratv<\/a>:\u00a0 8 candidate models from ERA ERATV v3.3.3<br \/>\n<a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/era-evr\">era-evr<\/a>: 14 candidate models from ERA EVR v3.3.3<br \/>\n<a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/era-rinf\">era-rinf<\/a>: 38 candidate models from ERA RINF v3.3.3<\/p>\n<p>Candidates are data models translated\/transformed from open standards that are only missing that real examples would qualify them to be officially published.\u00a0 so if you are using any of the candidates you can contact us in this <a href=\"alberto.abella@transparentia.net\">mail<\/a> adn we will start the process to make them official.<\/p>\n<p>Mind that the <a href=\"http:\/\/github.com\/smart-data-models\/dataModel.ERA\/\">ERA data models<\/a> (from a previous version are already available in the official repository)<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-39749\" src=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_1ddht51ddht51ddh-300x300.png\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_1ddht51ddht51ddh-300x300.png 300w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_1ddht51ddht51ddh-150x150.png 150w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_1ddht51ddht51ddh-768x768.png 768w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_1ddht51ddht51ddh-350x350.png 350w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_1ddht51ddht51ddh.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Smart Data Models&#8217; Candidates repository now includes four new candidate standards translated from the European Union Agency for Railways (ERA) Ontology v3.3.3 \u2014 the shared data model behind the EU&#8217;s four railway interoperability registers. Together they bring 74 entity types covering the physical rail network, authorised rolling stock, certification records,&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/39748\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[201],"tags":[],"class_list":["post-39748","post","type-post","status-publish","format-standard","hentry","category-smartlogistics"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":41633,"url":"https:\/\/smartdatamodels.org\/index.php\/state-of-the-candidates-repository-29-standards-385-data-models\/","url_meta":{"origin":39748,"position":0},"title":"State of the Candidates Repository: 29 Standards, 385 Data Models","author":"maestro","date":"08\/09\/2026","format":false,"excerpt":"This is just a summary for the participants of the FIWARE global summit 2026. See you there in Menton. Smart Data Models' Candidates repository has grown a lot over the past few weeks. This post is a single roundup of everything in it today: 29 source standards, translated into 385\u2026","rel":"","context":"In &quot;Governance&quot;","block_context":{"text":"Governance","link":"https:\/\/smartdatamodels.org\/index.php\/category\/governance\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38306,"url":"https:\/\/smartdatamodels.org\/index.php\/introducing-the-smart-data-models-candidates-repository\/","url_meta":{"origin":39748,"position":1},"title":"Introducing the Smart Data Models Candidates Repository","author":"Agent","date":"22\/07\/2026","format":false,"excerpt":"The Smart Data Models now has a Candidates repository \u2014 a low-friction entry point where any existing standard, ontology or open dataset can be translated into the SDM shape (JSON Schema + NGSI-LD context + examples) before anyone commits to the full contribution process. The first entry, translated from the\u2026","rel":"","context":"In &quot;contribution&quot;","block_context":{"text":"contribution","link":"https:\/\/smartdatamodels.org\/index.php\/category\/contribution\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_38hkfh38hkfh38hk-300x164.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":38372,"url":"https:\/\/smartdatamodels.org\/index.php\/track-new-candidate-models-straight-from-the-front-page\/","url_meta":{"origin":39748,"position":2},"title":"Track new Candidate models straight from the front page","author":"Agent","date":"23\/07\/2026","format":false,"excerpt":"Keep an eye on the last widget in the right-hand column of the smartdatamodels.org front page: it now tracks live updates to the Candidates repository, the place where existing standards and ontologies get their first translation into the Smart Data Models shape before becoming official. Every new candidate standard, every\u2026","rel":"","context":"In &quot;contribution&quot;","block_context":{"text":"contribution","link":"https:\/\/smartdatamodels.org\/index.php\/category\/contribution\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_1fzf8h1fzf8h1fzf-300x300.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":40343,"url":"https:\/\/smartdatamodels.org\/index.php\/gaia-x-ontology-joins-smart-data-models-165-candidate-models-for-cloud-connectivity-trust\/","url_meta":{"origin":39748,"position":3},"title":"Gaia-X Ontology Joins Smart Data Models: 165 Candidate Models for Cloud, Connectivity &#038; Trust","author":"maestro","date":"20\/08\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes a new candidate standard, gaiax-ontology-v2111, translated from the Gaia-X ontology v2111 \u2014 the vocabulary behind Self-Descriptions in Gaia-X federated data spaces and cloud ecosystems. All 165 classes published at docs.gaia-x.eu\/ontology\/v2111\/classes now have an NGSI-LD \/ NGSI-v2 representation. What's in it Gaia-X's ontology is\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/08\/Gemini_Generated_Image_3gnhx13gnhx13gnh-300x300.jpeg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":43129,"url":"https:\/\/smartdatamodels.org\/index.php\/saref4ener-saref4envi-join-smart-data-models-116-candidate-models-for-energy-flexibility-and-environment\/","url_meta":{"origin":39748,"position":4},"title":"SAREF4ENER &#038; SAREF4ENVI Join Smart Data Models: 116 Candidate Models for Energy Flexibility and Environment","author":"Agent","date":"14\/10\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes two new candidate standards translated from ETSI's SAREF (\"Smart Applications REFerence\") ontology family: saref4ener and saref4envi, together contributing 116 candidate models. Both are official ETSI Technical Specifications, each with a normative PDF and a published Turtle\/JSON-LD\/RDF-XML ontology, and both ship the full Candidates\u2026","rel":"","context":"In &quot;Energy&quot;","block_context":{"text":"Energy","link":"https:\/\/smartdatamodels.org\/index.php\/category\/energy\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":42717,"url":"https:\/\/smartdatamodels.org\/index.php\/new-candidate-models-simples-event-extensions-to-federated\/","url_meta":{"origin":39748,"position":5},"title":"New candidate models: SIMPLE&#8217;s Event extensions to FEDeRATED","author":"Agent","date":"29\/09\/2026","format":false,"excerpt":"Twenty new candidate data models are now available in the Smart Data Models Candidates repository, covering road and rail logistics events translated from the SIMPLE project's extensions to the FEDeRATED Event ontology. The models cover terminal movements (GateInEvent, GateOutEvent), generic transport (VehicleArrivalEvent, VehicleDepartureEvent, PassingEvent), workforce time tracking (ClockInConfirmationEvent, ClockOutConfirmationEvent), incident\u2026","rel":"","context":"In &quot;SmartLogistics&quot;","block_context":{"text":"SmartLogistics","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smartlogistics\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/39748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=39748"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/39748\/revisions"}],"predecessor-version":[{"id":39753,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/39748\/revisions\/39753"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=39748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=39748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=39748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}