{"id":1165,"date":"2020-12-27T16:45:27","date_gmt":"2020-12-27T16:45:27","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=1165"},"modified":"2021-01-08T15:27:42","modified_gmt":"2021-01-08T15:27:42","slug":"new-data-model-indoorenvironmentobserved","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-indoorenvironmentobserved\/","title":{"rendered":"New data model IndoorEnvironmentObserved"},"content":{"rendered":"<p>There is a new data model <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/tree\/master\/IndoorEnvironmentObserved\">IndoorEnvironmentObserved<\/a> for<strong> observations of air and climate conditions for indoor environments.<\/strong><\/p>\n<p>It belongs to the <a href=\"https:\/\/github.com\/smart-data-models\/SmartEnvironment\">Smart.Environment<\/a> domain in the subject <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\">dataModel.Environment<\/a>.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There is a new data model IndoorEnvironmentObserved for observations of air and climate conditions for indoor environments. It belongs to the Smart.Environment domain in the subject dataModel.Environment. &nbsp; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/new-data-model-indoorenvironmentobserved\/\">More&#8230;<\/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":[48,113],"tags":[],"class_list":["post-1165","post","type-post","status-publish","format-standard","hentry","category-environment","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":4189,"url":"https:\/\/smartdatamodels.org\/index.php\/data-model-of-the-day\/","url_meta":{"origin":1165,"position":0},"title":"Data Model of the day","author":"maestro","date":"22\/04\/2022","format":false,"excerpt":"In our Twitter account @smartdatamodels now it will be twit twice a day (9:00 and 15:00) a link with the chosen data model of the day. Follow Enjoy!! \u00a0 \u00a0","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":2018,"url":"https:\/\/smartdatamodels.org\/index.php\/new-ngsi-linked-data-generator-for-every-data-model\/","url_meta":{"origin":1165,"position":1},"title":"New NGSI  linked data generator for every data model","author":"maestro","date":"02\/04\/2021","format":false,"excerpt":"Now the README file of every data model includes a link to the generator of NGSI-LD payloads compliant with the data model. As you can see in the image below there is a new section \"Dynamic examples generation\" There is the sentence \"Link to the Generator of NGSI-LD payloads compliant\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\/2021\/04\/readme.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/readme.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/readme.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/readme.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":5912,"url":"https:\/\/smartdatamodels.org\/index.php\/draft-you-data-model-from-a-csv-payload-test\/","url_meta":{"origin":1165,"position":2},"title":"Draft your data model from a csv payload (test)","author":"maestro","date":"06\/06\/2022","format":false,"excerpt":"There is a new service for the creation of schema of a data model when the input is a csv payload. It is available in the home -> Draft a data model -> Create a data model from csv payload If you detect any issue or you want to make\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":2105,"url":"https:\/\/smartdatamodels.org\/index.php\/shortcut-to-go-or-search-your-data-model\/","url_meta":{"origin":1165,"position":3},"title":"Shortcut to go or search your data model","author":"maestro","date":"20\/04\/2021","format":false,"excerpt":"The list of data models has been completely changed. Step 1: write part of the name of data model or repository Step 2: The table filter the options Step 3: Click on the name and it takes you directly to the github location you need.","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\/2021\/04\/list_data_models.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/list_data_models.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/list_data_models.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/04\/list_data_models.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":1779,"url":"https:\/\/smartdatamodels.org\/index.php\/script-for-checking-a-data-model-submission\/","url_meta":{"origin":1165,"position":4},"title":"Script for checking a data model submission","author":"maestro","date":"25\/02\/2021","format":false,"excerpt":"In the directory utils of the umbrella repository data-models there is a new python script that checks if a schema is properly documented and if the payload is correctly located and validates against the schema.","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":2482,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-datamodel-dcat-ap-for-connection-with-open-data-portals-catalogue-data-model\/","url_meta":{"origin":1165,"position":5},"title":"New subject dataModel.DCAT-AP for connection with open data portals. Catalogue data model.","author":"maestro","date":"28\/05\/2021","format":false,"excerpt":"There is a new subject into Cross Sector domain for mapping the DCAT-AP 2.0.1 standard into smart data models. This is the standard for catalogs and other elements to be shared from open data portals. See the specification of this standard. The first data model is the CatalogueDCAT-AP which has\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\/1165","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=1165"}],"version-history":[{"count":3,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1165\/revisions"}],"predecessor-version":[{"id":1267,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1165\/revisions\/1267"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=1165"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=1165"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=1165"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}