{"id":43815,"date":"2026-11-14T21:55:36","date_gmt":"2026-11-14T20:55:36","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=43815"},"modified":"2026-11-12T21:56:27","modified_gmt":"2026-11-12T20:56:27","slug":"catena-x-joins-smart-data-models-8-candidate-models-for-automotive-traceability","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/catena-x-joins-smart-data-models-8-candidate-models-for-automotive-traceability\/","title":{"rendered":"Catena-X Joins Smart Data Models: 8 Candidate Models for Automotive Traceability"},"content":{"rendered":"<p>Smart Data Models\u2019 <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\">Candidates repository<\/a> now includes a new candidate standard translated from the <strong>Catena-X semantic models<\/strong>: <strong><code>catena-x-semantic-models<\/code><\/strong>, with <strong>8 candidate models<\/strong> from the Catena-X Industry Core, the traceability backbone of the automotive data space. The source models are published under <strong>CC-BY-4.0<\/strong>. Like every candidate, each model comes with a JSON Schema, an NGSI-LD <code>@context<\/code> and all four example serializations (NGSI-v2 and NGSI-LD, key-values and normalized), each validated against its schema.<\/p>\n<h2 id=\"about-catena-x\">About the Catena-X semantic models<\/h2>\n<p><a href=\"https:\/\/catena-x.net\/\">Catena-X<\/a> is the data space of the automotive industry. Its shared vocabulary is a set of <strong>aspect models<\/strong> written in SAMM, the Semantic Aspect Meta Model, and published by the Catena-X Automotive Network through the Eclipse Tractus-X project in the <a href=\"https:\/\/github.com\/eclipse-tractusx\/sldt-semantic-models\">sldt-semantic-models<\/a> repository. Each aspect describes one view of a digital twin, such as a serialized part, its bill of material or its product carbon footprint. All the aspects of a twin share one identifier, the <code>globalAssetId<\/code>. The repository holds about 150 aspect models. This first candidate covers the <strong>Industry Core<\/strong>, the eight aspects that every Catena-X traceability use case builds on, in their current versions (the <code>io.catenax.industry_core<\/code> namespaces introduced in release 26.09).<\/p>\n<h2 id=\"the-models\">The models<\/h2>\n<table>\n<thead>\n<tr>\n<th>Model<\/th>\n<th>Source aspect<\/th>\n<th>What it describes<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><code>SerialPart<\/code><\/td>\n<td>serial_part 4.0.0<\/td>\n<td>a part instance identified by a serial number or similar identifier<\/td>\n<\/tr>\n<tr>\n<td><code>Batch<\/code><\/td>\n<td>batch 4.0.0<\/td>\n<td>a set of parts produced together and tracked by batch<\/td>\n<\/tr>\n<tr>\n<td><code>JustInSequencePart<\/code><\/td>\n<td>just_in_sequence_part 4.0.0<\/td>\n<td>a part delivered just in sequence to an assembly line<\/td>\n<\/tr>\n<tr>\n<td><code>PartType<\/code><\/td>\n<td>part_type 2.0.0<\/td>\n<td>a part as designed, with its planned production sites<\/td>\n<\/tr>\n<tr>\n<td><code>SingleLevelBomAsBuilt<\/code><\/td>\n<td>single_level_bom_as_built 4.0.0<\/td>\n<td>the child items actually built into a part<\/td>\n<\/tr>\n<tr>\n<td><code>SingleLevelUsageAsBuilt<\/code><\/td>\n<td>single_level_usage_as_built 4.0.0<\/td>\n<td>the parent items a part was actually built into<\/td>\n<\/tr>\n<tr>\n<td><code>SingleLevelBomAsPlanned<\/code><\/td>\n<td>single_level_bom_as_planned 4.0.0<\/td>\n<td>the planned child items of a part type<\/td>\n<\/tr>\n<tr>\n<td><code>SingleLevelUsageAsPlanned<\/code><\/td>\n<td>single_level_usage_as_planned 3.0.0<\/td>\n<td>the planned parent items of a part type<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"examples\">Examples from the Tractus-X reference data<\/h2>\n<p>Real Catena-X data is exchanged between companies under usage policies and is not public. The examples therefore come from the Eclipse Tractus-X reference test data set used by the Item Relationship Service, which forms consistent twin trees. A \u201cDoor front-left\u201d serial part, its as-built bill of material and its as-built usage describe the same twin, and its child is the just-in-sequence part \u201cMirror left\u201d. On the planning side, an \u201cOEM A High Voltage Battery\u201d part type is planned into a \u201cVehicle Model A\u201d. The test data uses older aspect versions, so each record was updated to the current version using the renames in each model\u2019s release notes.<\/p>\n<h2 id=\"translation-notes\">Translation notes<\/h2>\n<ul>\n<li><strong>One aspect, one entity type.<\/strong> NGSI-LD has no notion of aspects, so each aspect becomes its own entity type, with the id <code>urn:ngsi-ld:&lt;Aspect&gt;:&lt;twin UUID&gt;<\/code>. The entities of one twin share the same <code>globalAssetId<\/code>.<\/li>\n<li><strong>Payloads map one-to-one.<\/strong> The schemas are built from the JSON Schemas that the SAMM tooling generates, with names, nesting, required fields, enumerations and patterns kept exactly. Each aspect\u2019s own sample payload validates against the translated schema.<\/li>\n<li><strong>Structured values stay JSON.<\/strong> The <code>@context<\/code> maps each attribute to its SAMM URN and declares structured attributes as JSON literals, so nested keys such as a classification\u2019s <code>id<\/code> are not reinterpreted as NGSI-LD keywords.<\/li>\n<li><strong>Part links kept as Catena-X writes them.<\/strong> Bill-of-material and usage entries reference other twins by <code>globalAssetId<\/code>, together with quantity, business partner and timestamps. They are kept as property values rather than NGSI-LD Relationships.<\/li>\n<li><strong>Licence verified.<\/strong> The aspect models are CC-BY-4.0, and the example data is Apache-2.0.<\/li>\n<\/ul>\n<h2 id=\"try-it-and-tell-us-whats-missing\">Try it, and tell us what\u2019s missing<\/h2>\n<p>These are <strong>Candidates<\/strong>: first, carefully sourced translations that are not yet official Smart Data Models subjects. Before that step, the open questions are whether to expose part links as NGSI-LD Relationships, and how these models relate to <code>dataModel.AAS<\/code> (Catena-X twins are published as Asset Administration Shells), <code>dataModel.ManufacturingMachine<\/code> and <code>dataModel.Battery<\/code>. Natural next steps are other Catena-X aspects: Product Carbon Footprint, the Digital Product Passport and the Battery Pass.<\/p>\n<p>Browse the models, open an issue, or send a PR:<br \/>\n\ud83d\udc49 <a href=\"https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/catena-x-semantic-models\">https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/catena-x-semantic-models<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Smart Data Models\u2019 Candidates repository now includes a new candidate standard translated from the Catena-X semantic models: catena-x-semantic-models, with 8 candidate models from the Catena-X Industry Core, the traceability backbone of the automotive data space. The source models are published under CC-BY-4.0. Like every candidate, each model comes with a&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/catena-x-joins-smart-data-models-8-candidate-models-for-automotive-traceability\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":15,"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":[78,115],"tags":[],"class_list":["post-43815","post","type-post","status-publish","format-standard","hentry","category-manufacturing","category-smart-manufacturing"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"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":43815,"position":0},"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":43130,"url":"https:\/\/smartdatamodels.org\/index.php\/saref4city-saref4inma-join-smart-data-models-35-candidate-models-for-smart-cities-and-manufacturing\/","url_meta":{"origin":43815,"position":1},"title":"SAREF4CITY &#038; SAREF4INMA Join Smart Data Models: 35 Candidate Models for Smart Cities and Manufacturing","author":"Agent","date":"18\/10\/2026","format":false,"excerpt":"Smart Data Models' Candidates repository now includes two more ETSI SAREF extensions: saref4city and saref4inma, together contributing 35 candidate models. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context, and all four example serializations \u2014 validated against its own schema. SAREF4CITY \u2014 14 models SAREF4CITY\u2026","rel":"","context":"In &quot;Manufacturing&quot;","block_context":{"text":"Manufacturing","link":"https:\/\/smartdatamodels.org\/index.php\/category\/manufacturing\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"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":43815,"position":2},"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 &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":43813,"url":"https:\/\/smartdatamodels.org\/index.php\/realestatecore-joins-smart-data-models-10-candidate-models-for-real-estate-and-smart-buildings\/","url_meta":{"origin":43815,"position":3},"title":"RealEstateCore Joins Smart Data Models: 10 Candidate Models for Real Estate and Smart Buildings","author":"Agent","date":"13\/11\/2026","format":false,"excerpt":"Smart Data Models\u2019 Candidates repository now includes a new candidate standard translated from RealEstateCore (REC): realestatecore, with 10 candidate models for real estate and smart buildings. REC is published under BSD-3-Clause. Like every candidate, each model comes with a JSON Schema, an NGSI-LD @context and all four example serializations (NGSI-v2\u2026","rel":"","context":"In &quot;Smart Cities domain&quot;","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":10351,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-gaia-x\/","url_meta":{"origin":43815,"position":4},"title":"New subject Gaia-X","author":"maestro","date":"30\/04\/2024","format":false,"excerpt":"Thanks to the collaboration in the Data Spaces Business Alliance (DSBA) there is a new subject to compile the mapping of the semantic assets of Gaia-X to be used in NGSI-LD systems. It allows the storage of the information related to assets according to the definitions of Gaia-X. The first\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\/2024\/04\/Gaia-X_Logo_Standard_RGB_210401-1.jpg?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":43815,"position":5},"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":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43815","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\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=43815"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43815\/revisions"}],"predecessor-version":[{"id":43817,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/43815\/revisions\/43817"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=43815"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=43815"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=43815"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}