info@smartdatamodels.org<\/a><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":"
In the front page, there is a new option that allows you top to directly create a copy of the template sheet for creating new data models. Remember that this spreadsheet is done for those unfamiliar with json schema (the official format for the smart data models) to allow them… 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,"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},"jetpack_post_was_ever_published":false},"categories":[74,107,109,113,115,119,117,88,143,111,125],"tags":[],"class_list":["post-1727","post","type-post","status-publish","format-standard","hentry","category-internal","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_sharing_enabled":true,"jetpack-related-posts":[{"id":1641,"url":"https:\/\/smartdatamodels.org\/index.php\/create-your-data-model-with-a-google-spreadsheet\/","url_meta":{"origin":1727,"position":0},"title":"Create your data model with a google spreadsheet","author":"maestro","date":"15\/02\/2021","format":false,"excerpt":"NEW VERSION!! This post became obsolete, go for the new master sheet \u00a0 This is a resource, especially for those who have limited knowledge of JSON schema. If you want to create a basic version of a data model (not all JSON schema is implemented), you can use a copy\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\/2021\/02\/image.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/image.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/image.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1619,"url":"https:\/\/smartdatamodels.org\/index.php\/alpha-version-for-drafting-a-data-model\/","url_meta":{"origin":1727,"position":1},"title":"Alpha version for drafting a data model","author":"maestro","date":"14\/02\/2021","format":false,"excerpt":"In case you are not an expert for creating a JSON schema (one of the elements of a data model) On this page, you have a spreadsheet for helping with the first steps. 1.- Fill the spreadsheet with the names of the properties for your model 2.- fill the NGSI\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\/2021\/02\/draft_schema.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/02\/draft_schema.png?resize=1050%2C600&ssl=1 3x"},"classes":[]},{"id":8429,"url":"https:\/\/smartdatamodels.org\/index.php\/mastersheet-for-submission-of-simple-data-models\/","url_meta":{"origin":1727,"position":2},"title":"MasterSheet for submission of simple data models","author":"maestro","date":"13\/03\/2023","format":false,"excerpt":"We have released a master sheet that simplifies the contribution to the smart data models. It uploads the data model to a new repository called drafted. The video help is also available Steps for using the spreadsheet 0.- Make a local copy in your google account and grant permission the\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\/2023\/03\/sheet.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":2522,"url":"https:\/\/smartdatamodels.org\/index.php\/new-export-format-for-data-models\/","url_meta":{"origin":1727,"position":3},"title":"New export format for data models","author":"maestro","date":"01\/06\/2021","format":false,"excerpt":"The README of the different data models now contains a new option, to export the payloads as a geojson feature. It is a new line at the README of every data model. It provides actual results when the data model has Geoproperties. Otherwise, a warning message is replied to the\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\/2021\/05\/geojsonfeature.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/05\/geojsonfeature.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/05\/geojsonfeature.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/05\/geojsonfeature.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":13212,"url":"https:\/\/smartdatamodels.org\/index.php\/new-script-for-testing-several-data-models-at-the-same-time\/","url_meta":{"origin":1727,"position":4},"title":"New script for testing several data models at the same time.","author":"maestro","date":"27\/02\/2025","format":false,"excerpt":"Most of the files of the testing process have been updated and make it available the source code: https:\/\/github.com\/smart-data-models\/data-models\/tree\/master\/test_data_model But also there is a new file multiple_tests.py This file enables you to test all the data models located in a internal subject (subdirectories of the root one). Currently this option\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\/favicon-300x300.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":2927,"url":"https:\/\/smartdatamodels.org\/index.php\/new-features-in-the-check-of-new-data-models\/","url_meta":{"origin":1727,"position":5},"title":"New features in the check of new data models","author":"maestro","date":"16\/08\/2021","format":false,"excerpt":"Now it is possible to check if the defined properties of a new model have already been used in other models. Thus there are two new sections in the check of the data model: alreadyUsedproperties availableProperties","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\/2021\/08\/NEW_SECTIONS.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1727","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=1727"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1727\/revisions"}],"predecessor-version":[{"id":1731,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1727\/revisions\/1731"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=1727"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=1727"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=1727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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