{"id":7740,"date":"2022-11-29T13:40:15","date_gmt":"2022-11-29T12:40:15","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=7740"},"modified":"2022-11-29T13:40:15","modified_gmt":"2022-11-29T12:40:15","slug":"new-observation-data-model-at-the-new-subject-sdmx","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-observation-data-model-at-the-new-subject-sdmx\/","title":{"rendered":"New Observation data model at the new subject SDMX"},"content":{"rendered":"<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/SDMX\">SDMX<\/a> is a standard for the codification of statistical information. Retrieving these types of data and inserting them in systems based on JSON\/JSON-LD is a tough task performed by the project <a href=\"https:\/\/cef-interstat.eu\/\">Interstat<\/a>.<\/p>\n<p>Thanks to its collaboration we have a new subject, <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.SDMX\">dataModel.SDMX<\/a> where these data models for mapping this standard will be located. this subject belongs to the <a href=\"https:\/\/github.com\/smart-data-models\/CrossSector\">Cross-Sector domain.<\/a><\/p>\n<p>The first one is the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.SDMX\/blob\/master\/Observation\/README.md\">Observation<\/a> data model.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.SDMX\/blob\/master\/Observation\/README.md\">Observation<\/a>. A single observation in the SDMX Cube, may have one or more associated measured values<\/li>\n<\/ul>\n<p><a title=\"Unknown authorUnknown author, CC BY-SA 3.0 &lt;https:\/\/creativecommons.org\/licenses\/by-sa\/3.0&gt;, via Wikimedia Commons\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Sdmx_logo.png\"><img decoding=\"async\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/9\/99\/Sdmx_logo.png\" alt=\"Sdmx logo\" width=\"128\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>SDMX is a standard for the codification of statistical information. Retrieving these types of data and inserting them in systems based on JSON\/JSON-LD is a tough task performed by the project Interstat. Thanks to its collaboration we have a new subject, dataModel.SDMX where these data models for mapping this standard&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-observation-data-model-at-the-new-subject-sdmx\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"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}},"categories":[105],"tags":[],"class_list":["post-7740","post","type-post","status-publish","format-standard","hentry","category-cross-sector"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":2130,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-smart-metering-observation\/","url_meta":{"origin":7740,"position":0},"title":"New Data model Smart Metering Observation","author":"maestro","date":"21\/04\/2021","format":false,"excerpt":"A new data model for the device subject capable of allocating payloads of power consumption. In the subject datamodel.Device. SmartMeteringObservation. This entity contains a harmonized description of a Smart Meter Observation, generally applicable for Smart Homes, Industry, Cities, and Agriculture. It is based mostly on the GSMA entity definition but\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":1324,"url":"https:\/\/smartdatamodels.org\/index.php\/new-satellite-imagery-subject-and-data-models\/","url_meta":{"origin":7740,"position":1},"title":"New Satellite Imagery subject and data models","author":"maestro","date":"21\/01\/2021","format":false,"excerpt":"The new Subject of Satellite Imagery, inside the CrossSector domain, has released 6 new data models for Earth Observation: - EOAnalysis - EODataHub - EOGeoDataLayer - EOInstrument - EOProduct - EOSatellitePlatform","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":31757,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-touristpresenceobserved-at-tourismdestination-subject\/","url_meta":{"origin":7740,"position":2},"title":"New data model TouristPresenceObserved at TourismDestination subject","author":"maestro","date":"01\/02\/2026","format":false,"excerpt":"A new data model, TourismPresenceObserved in the subject dataModel.TourismDestinations Thanks to the company ubiwhere.com for the contribution. TourismPresenceObserved. Hourly observation of visitor presence at a specific location (municipality), segmented by nationality. Each entity represents one hour of observation.","rel":"","context":"In &quot;SmartDestinations&quot;","block_context":{"text":"SmartDestinations","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smartdestinations\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/02\/Screenshot-from-2026-02-01-02-43-52.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":8563,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-anprflowobserved-in-transportation-subject\/","url_meta":{"origin":7740,"position":3},"title":"New data model AnprFlowObserved in Transportation subject","author":"maestro","date":"19\/04\/2023","format":false,"excerpt":"The data model for AnprFlowObserved (Automatic number-plate recognition) is available for the transportation subject. AnprFlowObserved. The data model represents an observation linked to the passing of a vehicle at a certain location and at a given time. This Data Model is based on the ItemFlowObserved, extended with ANPR-specific properties, and\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":9606,"url":"https:\/\/smartdatamodels.org\/index.php\/apdsobservation-data-model-at-transportation-subject\/","url_meta":{"origin":7740,"position":4},"title":"APDSObservation data model at transportation subject","author":"maestro","date":"20\/09\/2023","format":false,"excerpt":"A new data model in the transportation subject, APDSObservation, it is the result of the ANPR camera (automatic number plate recognition). It is aligned with the alliance of parking standards. APDSObservation. This entity models a particular observation of a set of ANPR camera. The Observation might be done with several\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":32325,"url":"https:\/\/smartdatamodels.org\/index.php\/besser-smart-data-json-schema-generator\/","url_meta":{"origin":7740,"position":5},"title":"BESSER Smart Data JSON Schema Generator","author":"maestro","date":"27\/02\/2026","format":false,"excerpt":"Overview The tool automates the generation of Smart Data Models (SDM) from visual models, bridging the gap between high-level domain design and technical implementation for Digital Twins and IoT ecosystems. Technical Workflow Input: Users define domain entities and relationships using B-UML (a simplified UML dialect) within the BESSER Pearl editor.\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":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7740","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=7740"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7740\/revisions"}],"predecessor-version":[{"id":7741,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/7740\/revisions\/7741"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=7740"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=7740"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=7740"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}