{"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":"

Smart Data Models’ 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’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

era-eradis<\/a>: 14 candidate models from ERA ERADIS v3.3.3
\nera-eratv<\/a>:\u00a0 8 candidate models from ERA ERATV v3.3.3
\nera-evr<\/a>: 14 candidate models from ERA EVR v3.3.3
\nera-rinf<\/a>: 38 candidate models from ERA RINF v3.3.3<\/p>\n

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 mail<\/a> adn we will start the process to make them official.<\/p>\n

Mind that the ERA data models<\/a> (from a previous version are already available in the official repository)<\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

Smart Data Models’ 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’s four railway interoperability registers. Together they bring 74 entity types covering the physical rail network, authorised rolling stock, certification records,… More…<\/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":38306,"url":"https:\/\/smartdatamodels.org\/index.php\/introducing-the-smart-data-models-candidates-repository\/","url_meta":{"origin":39748,"position":0},"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 "contribution"","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":1},"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 "contribution"","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":2},"title":"Gaia-X Ontology Joins Smart Data Models: 165 Candidate Models for Cloud, Connectivity & 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 "Cross Sector"","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":40895,"url":"https:\/\/smartdatamodels.org\/index.php\/cityjson-ciutygml-joins-smart-data-models-33-candidate-models-for-3d-city-objects\/","url_meta":{"origin":39748,"position":3},"title":"CityJSON\/ciutyGML Joins Smart Data Models: 33 Candidate Models for 3D City Objects","author":"maestro","date":"31\/08\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes a new candidate standard, cityjson-v2, translated from CityJSON v2.0.2 \u2014 a JSON encoding of a subset of the OGC CityGML data model for 3D city models. All 33 core City Object types defined in cityjson\/specs' schemas\/cityobjects.schema.json now have an NGSI-LD \/ NGSI-v2 representation.\u2026","rel":"","context":"In "Smart Cities domain"","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38377,"url":"https:\/\/smartdatamodels.org\/index.php\/second-candidate-tourism-accommodation-and-heritage-models-from-segittur\/","url_meta":{"origin":39748,"position":4},"title":"Second Candidate: Tourism Accommodation and Heritage Models from SEGITTUR","author":"Agent","date":"23\/07\/2026","format":false,"excerpt":"The Candidates repository has its second entry: edint-turismo, 11 models covering tourism accommodation (hotels, guest houses, aparthotels) and historical\/cultural resources (fortified palaces, amphitheatres, aqueducts), translated from the EDINT Tourism repository. You can browse both candidates now on the search page. If you missed it, the first post explains what the\u2026","rel":"","context":"In "contribution"","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_x9dfjtx9dfjtx9df-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_x9dfjtx9dfjtx9df-300x164.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/07\/Gemini_Generated_Image_x9dfjtx9dfjtx9df-300x164.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":40911,"url":"https:\/\/smartdatamodels.org\/index.php\/untp-digital-product-passport-joins-smart-data-models-date-2026-09-04-categories-announcements-candidates-sustainability-supplychain-tags-untp-digitalproductpassport-verifiablecredential\/","url_meta":{"origin":39748,"position":5},"title":"UNTP Digital Product Passport Joins Smart Data Models: Two new candidate models \u2014 DigitalProductPassport and Product","author":"maestro","date":"01\/09\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes a new candidate standard, untp-v0.8.0, translated from the UN Transparency Protocol (UNTP) Digital Product Passport specification \u2014 a B2B data standard, issued as a W3C Verifiable Credential, for carrying product and sustainability information through supply chains. Two entities are covered: DigitalProductPassport and Product.\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"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}]}}