{"id":16,"date":"2020-03-17T16:13:27","date_gmt":"2020-03-17T16:13:27","guid":{"rendered":"http:\/\/data-models.fiware.org\/?page_id=16"},"modified":"2025-06-23T10:48:32","modified_gmt":"2025-06-23T08:48:32","slug":"about","status":"publish","type":"page","link":"https:\/\/smartdatamodels.org\/index.php\/about\/","title":{"rendered":"About"},"content":{"rendered":"

Smart Data Models Program<\/h2>\n

Board<\/h4>\n

Welcome to Smart Data Models Program. This is a collaborative initiative impulsed by FIWARE Foundation, TMForum,\u00a0IUDX, and OASC many other people and organizations (see statistics<\/a>) contributing to the data models.
\n\"\"<\/a>\"\"<\/a>\"\"<\/a>\"\"<\/a><\/p>\n

Purpose<\/h4>\n

These data models are open-licensed allowing free use, free modification, and free sharing of modifications. Therefore you can evolve them for your needs, in fact, we encourage you to do it in the actual repositories (look for them in the list of data models<\/a>). Of course, you have to reach some consensus with other users, and we encourage you to meet some data model guidelines<\/a>.<\/p>\n

Advantages<\/h4>\n

These data models<\/a> have been harmonized to enable data portability for different applications including, Smart Cities, Smart Agrifood, Smart Environment, Smart Sensoring, Smart Energy, Smart Water<\/a>, Smart Destination<\/a>, and Starting Smart Robotics<\/a> and Smart Manufacturing<\/a>. Available at https:\/\/github.com\/smart-data-models<\/a>. They are intended to be used wherever you want but also with compliance to FIWARE NGSI version 2 and NGSI-LD.<\/p>\n

Contributing<\/h4>\n

If you want to contribute and create additional data models, please have a look at our contribution manual<\/a> and just create a PR on the incubated repository<\/a>.<\/p>\n

Structure<\/h4>\n

Data models are stored in repositories. The lower level repository is a Subject (I.e. Alert, Streetlighting, etc). Every subject repository is defined as a subrepository of Domain repositories. Domain repositories compile several subjects (i.e. inside Smart Environment<\/a> there are 4 subjects, Environment<\/a>, Waste management<\/a>, WaterQuality<\/a> and Weather<\/a>). At the same time, a subject could appear in several domains (i.e. Weather<\/a> appear in Smart cities<\/a> and in Smart Environment<\/a> and in Smart Cities<\/a>).<\/p>\n

We also focus on maximizing the usefulness of these models and we provide csv examples of the payloads for all the datamodels<\/a> in order to allow interaction with other platforms.<\/p>\n","protected":false},"excerpt":{"rendered":"

Smart Data Models Program Board Welcome to Smart Data Models Program. This is a collaborative initiative impulsed by FIWARE Foundation, TMForum,\u00a0IUDX, and OASC many other people and organizations (see statistics) contributing to the data models. Purpose These data models are open-licensed allowing free use, free modification, and free sharing of… More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-16","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":7,"url":"https:\/\/smartdatamodels.org\/index.php\/governance\/","url_meta":{"origin":16,"position":0},"title":"Governance","author":"maestro","date":"17\/03\/2020","format":false,"excerpt":"The availability of widely adopted (de-facto standard) information models is key for creating a global digital single market of interoperable and replicable (portable) smart solutions in multiple domains (smart cities, smart agrifood, smart utilities, smart industry, \u2026). More \ufeff","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":3233,"url":"https:\/\/smartdatamodels.org\/index.php\/generate-a-local-context-based-on-smart-data-models-iris\/","url_meta":{"origin":16,"position":1},"title":"Generate a local context based on Smart Data Models IRIs","author":"maestro","date":"19\/10\/2021","format":false,"excerpt":"Call: https:\/\/smartdatamodels.org\/extra\/context_local_generator.php Parameters: (Mandatories) schemaUrl: The link to the RAW version of the file listing the subjects (see example) email: your email Example: https:\/\/smartdatamodels.org\/extra\/context_local_generator.php?schemaUrl=https:\/\/raw.githubusercontent.com\/smart-data-models\/data-models\/master\/context\/merge_subjects_config_example.json&email=alberto.abella@fiware.org It returns a json file with two main elements: - @context with all the attribute's names and local IRIs - conflicts with all those attributes which\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":192,"url":"https:\/\/smartdatamodels.org\/index.php\/use-data-models\/","url_meta":{"origin":16,"position":2},"title":"use Data models","author":"maestro","date":"20\/03\/2020","format":false,"excerpt":"All the data models available in Github under the umbrella repository smart-data-models are free to use and with an open license allowing its modification. You have a list here. There are examples in all of them in several formats, including json, jsonld, dtdl and csv. Additionally, there are schemas that\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2860,"url":"https:\/\/smartdatamodels.org\/index.php\/faqs\/","url_meta":{"origin":16,"position":3},"title":"FAQs","author":"maestro","date":"14\/07\/2021","format":false,"excerpt":"1.- What is Smart Data Models Program. 2.- Who supports the program?. 3.- Can I use these data models for free? 4-. Where do these data models come from? 5.- Do I have to use the FIWARE platform or the NGSI standard to use them. 6.- I want to contribute\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":37,"url":"https:\/\/smartdatamodels.org\/index.php\/domain-repositories\/","url_meta":{"origin":16,"position":4},"title":"Domain repositories","author":"maestro","date":"17\/03\/2020","format":false,"excerpt":"List of main domains repositories https:\/\/github.com\/smart-data-models\/CrossSector https:\/\/github.com\/smart-data-models\/Smart-Sensoring https:\/\/github.com\/smart-data-models\/SmartAgrifood https:\/\/github.com\/smart-data-models\/SmartCities https:\/\/github.com\/smart-data-models\/SmartEnergy https:\/\/github.com\/smart-data-models\/SmartEnvironment https:\/\/github.com\/smart-data-models\/SmartWater \u00a0","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":18619,"url":"https:\/\/smartdatamodels.org\/index.php\/validate-your-payloads-against-smart-data-models-powering-real-world-use-cases\/","url_meta":{"origin":16,"position":5},"title":"Validate Your Payloads Against Smart Data Models \u2013 Powering Real-World Use Cases!","author":"maestro","date":"08\/06\/2025","format":false,"excerpt":"Are you working with data in the realm of IoT, Smart Cities, or other domain-specific applications, and often find yourself grappling with inconsistent data formats or complex ontologies? The Smart Data Models initiative is here to streamline your work, and we're excited to announce a new tool that brings our\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"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=16"}],"version-history":[{"count":26,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":19702,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/pages\/16\/revisions\/19702"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}