here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"Whenever there is measurement it could be necessary to use the unitCode for setting the units for the value. Now the guidelines for the data model’s creation include the place to find out these unit codes. See section units. The list of UN\/CEFACT Common Code (3 characters) can be download… More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[105,107,109,113,115,119,117,88,143,111,125],"tags":[],"class_list":["post-684","post","type-post","status-publish","format-standard","hentry","category-cross-sector","category-smart-cities","category-smart-energy-domain","category-smart-environment","category-smart-manufacturing","category-smart-robotics","category-smart-water","category-smart-sensoring","category-smartaeronautics","category-smart-agrifood","category-smartdestinations"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":7846,"url":"https:\/\/smartdatamodels.org\/index.php\/draft-of-a-python-package-available\/","url_meta":{"origin":684,"position":0},"title":"Draft of a python package available","author":"maestro","date":"12\/12\/2022","format":false,"excerpt":"Now we have a draft version of a python package to integrate the smart data models with your developments. It is a beta version so you can expect some issues when using it. We will be glad if you report it at info@smartdatamodels.org or suggest new features. Thanks to Anthony\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\/2022\/11\/python-logo-master-v3-TM-flattened.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/11\/python-logo-master-v3-TM-flattened.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/11\/python-logo-master-v3-TM-flattened.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":8176,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-pysmartdatamodels-0-5-41\/","url_meta":{"origin":684,"position":1},"title":"New version of pysmartdatamodels 0.5.41","author":"maestro","date":"30\/01\/2023","format":false,"excerpt":"There is a new version of the python package for smart data models\u00a0 pysmartdatamodels 0.5.41 Changelog: - The README include now the basic documentation of each function New function to load in a dictionary all subjects and their data models, with their repository link, and related domains New function to\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":[]},{"id":7722,"url":"https:\/\/smartdatamodels.org\/index.php\/new-database-of-data-models-versions\/","url_meta":{"origin":684,"position":2},"title":"New database of data models’ versions","author":"maestro","date":"28\/11\/2022","format":false,"excerpt":"In the main menu, it has been extended the submenu of list data models with a complete database of all versions of the data models. It includes not only the data model, subject, and version but also the data directly linked to the raw version of the data model. You\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":[]},{"id":7425,"url":"https:\/\/smartdatamodels.org\/index.php\/chinese-translation-available\/","url_meta":{"origin":684,"position":3},"title":"Chinese translation available","author":"maestro","date":"23\/10\/2022","format":false,"excerpt":"Now the list of specifications has a new language, Chinese. they are called spec_ZH.md See the example with the WaterConsumption data model.","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":[]},{"id":2035,"url":"https:\/\/smartdatamodels.org\/index.php\/contribution-checklist\/","url_meta":{"origin":684,"position":4},"title":"Contribution checklist","author":"maestro","date":"05\/04\/2021","format":false,"excerpt":"There is a new option in the main menu Data Models -> Contribution Checklist It is strongly recommended to pass every element before submitting your new data model. See below the checklist","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":[]},{"id":32569,"url":"https:\/\/smartdatamodels.org\/index.php\/use-smartdatamodels-in-your-local-ai-agent-with-this-mcp-server\/","url_meta":{"origin":684,"position":5},"title":"Use smartdatamodels in your local AI agent with this MCP server","author":"maestro","date":"16\/03\/2026","format":false,"excerpt":"With this MCP configuration file you will be capable to use Smart Data Models locally in your AI agent. { \"mcpServers\": { \"smartdatamodels\": { \"type\": \"http\", \"serverUrl\": \"https:\/\/opendatamodels.org\/mcp\/v1\" } } } More information here These functions are available 1. search_data_models Search the Smart Data Models (SDM) catalog by keyword, domain\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\/2022\/01\/SmartDataModels_logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/684","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=684"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/684\/revisions"}],"predecessor-version":[{"id":686,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/684\/revisions\/686"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=684"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=684"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=684"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}