FIWARE4Water project<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"The subjects RawWaterManagement and WaterNetworkManagement are now being renamed to be more water-related. RawWaterManagement is now OpenChannelManagement because these models help to describe the management of water through open channels. WaterNetworkManagement is now WaterDistributionManagementEPANET because these data models are capable of describing the infrastructure and providing an output to EPANET… 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":[117],"tags":[],"class_list":["post-1928","post","type-post","status-publish","format-standard","hentry","category-smart-water"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":625,"url":"https:\/\/smartdatamodels.org\/index.php\/automated-readme-for-subjects\/","url_meta":{"origin":1928,"position":0},"title":"Automated README for Subjects","author":"maestro","date":"08\/09\/2020","format":false,"excerpt":"As promised the README.md at Subject level explaining the different data models is automated, and therefore there is no need to be contributed by the contributors. See an example here for the weather subject Thus, the README.md is based on the data models and their descriptions, linking to the current\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":18419,"url":"https:\/\/smartdatamodels.org\/index.php\/use-smart-data-models-as-a-service-first-draft\/","url_meta":{"origin":1928,"position":1},"title":"Use smart data models as a service. First draft","author":"maestro","date":"04\/06\/2025","format":false,"excerpt":"In the data-models repository you can access to the first version to use smart data models as a service. Thanks to the works for the Cyclops project. The files available create a wrap up around pysmartdatamodels package and also add one service for the online validation of NGSI-LD payloads. Here\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":3255,"url":"https:\/\/smartdatamodels.org\/index.php\/local-context-service\/","url_meta":{"origin":1928,"position":2},"title":"Local context service","author":"maestro","date":"22\/10\/2021","format":false,"excerpt":"If you want to use data models coming from several subjects you will have to merge (somehow) their @contexts. In this first step, we offer you a service that allows you to choose what subjects you need to merge and to generate the @context. See the instructions on the page.\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":3192,"url":"https:\/\/smartdatamodels.org\/index.php\/local-context-available-in-all-subjects\/","url_meta":{"origin":1928,"position":3},"title":"Local context available in all subjects","author":"maestro","date":"08\/10\/2021","format":false,"excerpt":"We the middle of a reorganization of the @context resources. Our first priority is to not touch the @context that is currently available. We grant you we keep it. Why is this new option being created?, because otherwise is not possible to solve the conflicts in the IRI when we\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":2892,"url":"https:\/\/smartdatamodels.org\/index.php\/open-session-2021-7-19\/","url_meta":{"origin":1928,"position":4},"title":"Open session 2021-7-19","author":"maestro","date":"19\/07\/2021","format":false,"excerpt":"No new subjects, data models, or updates in data models Updated the learning zone with the 3 videos New FAQs section In progress Work with frictionless data accepted by authors Working regarding the adoption of Energy data models DDI-CDI integration with NGSI-LD and smart data models Pending\u00a0 Study automation of\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":7220,"url":"https:\/\/smartdatamodels.org\/index.php\/release-the-script-for-subjects-context-consolidation\/","url_meta":{"origin":1928,"position":5},"title":"Release the script for subjects’ context consolidation.","author":"maestro","date":"28\/09\/2022","format":false,"excerpt":"The utils directory at the data models compiles some scripts we use internally. Now you have available a script for consolidating several @contexts from several subjects. It is the script called by the main menu options Home->tools -> Subjects' @context merger the help of the script # This file takes\u2026","rel":"","context":"In "Governance"","block_context":{"text":"Governance","link":"https:\/\/smartdatamodels.org\/index.php\/category\/governance\/"},"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\/1928","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=1928"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1928\/revisions"}],"predecessor-version":[{"id":1929,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1928\/revisions\/1929"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=1928"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=1928"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=1928"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}