{"id":1501,"date":"2021-02-04T10:11:19","date_gmt":"2021-02-04T10:11:19","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=1501"},"modified":"2021-02-05T12:51:04","modified_gmt":"2021-02-05T12:51:04","slug":"include-levels-of-privacy-of-properties-in-their-description","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/include-levels-of-privacy-of-properties-in-their-description\/","title":{"rendered":"Include levels of privacy of properties in their description"},"content":{"rendered":"<p>The privacy of the data contained in a property has been under discussion for the documentation of any property.<\/p>\n<p>Now there is a first version on how to implement it.<\/p>\n<p>The contribution manual has been updated for this possibility. See the <a href=\"https:\/\/docs.google.com\/presentation\/d\/1zPFHSU3SgGGBH6_y4JuNURFkg4bquD1JstAv44yu_Po\/edit#slide=id.gbb0685957f_0_0\">specific slide<\/a> about it.<\/p>\n<p>Privacy clause: <i>Privacy:\u2019[high\/medium\/low]<\/i><\/p>\n<p>Describes if the property has any kind of information related with personal data. Current options:<\/p>\n<ul>\n<li aria-level=\"1\"><b>No clause<\/b>: (default) this property does not contain personal data<\/li>\n<li aria-level=\"1\"><b>Privacy:\u2019high\u2019:<\/b> Those properties that refer to data on ideology, union affiliation, religion, beliefs, racial origin, health or sexual life.<\/li>\n<li aria-level=\"1\"><b>Privacy:\u2019medium\u2019<\/b>. Those properties related to the provision of financial solvency and credit services of people and those that contain definition of characteristics or personality and that allow evaluating certain aspects of personality or behavior of people.<\/li>\n<li aria-level=\"1\"><b>Privacy:\u2019low\u2019<\/b>.\u00a0 Those properties that contains personal data different from the rest of types.<\/li>\n<\/ul>\n<p>Example:<\/p>\n<p>\u201crefUserDevice\u201d :{<\/p>\n<p>\u201cdescription\u201d: \u201cProperty. Model:\u2019<a href=\"http:\/\/schema.org\/Number\">http:\/\/schema.org\/<\/a>Text\u2019. Privacy:\u2019low\u2019. An object representing the current device used by the User.\u201d.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The privacy of the data contained in a property has been under discussion for the documentation of any property. Now there is a first version on how to implement it. The contribution manual has been updated for this possibility. See the specific slide about it. Privacy clause: Privacy:\u2019[high\/medium\/low] Describes if&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/include-levels-of-privacy-of-properties-in-their-description\/\">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":[107,109,113,115,119,117,88,143,111],"tags":[],"class_list":["post-1501","post","type-post","status-publish","format-standard","hentry","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"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":1969,"url":"https:\/\/smartdatamodels.org\/index.php\/include-useralias-in-common-schema-json\/","url_meta":{"origin":1501,"position":0},"title":"Include userAlias in common-schema.json","author":"maestro","date":"23\/03\/2021","format":false,"excerpt":"The file common-schema.json compiles those properties massively used across the different data models in the different domains. The property userAlias has been included to store those anonymous identifiers of a user that cannot be traced back to the user. It can be referenced in any data model just by including\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":1445,"url":"https:\/\/smartdatamodels.org\/index.php\/improved-the-database-of-properties\/","url_meta":{"origin":1501,"position":1},"title":"Improved the database of properties","author":"maestro","date":"26\/01\/2021","format":false,"excerpt":"The database for the searching on data models, properties and their descriptions has been expanded to allow filtering also by : NGSI type (one of Property, Relationship or Geoproperty) data type (string, number, boolean, array, object, etc) Additionally, it has been updated containing more than 11.000 items Accessible from the\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\/01\/search_database.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/01\/search_database.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/01\/search_database.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/01\/search_database.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":904,"url":"https:\/\/smartdatamodels.org\/index.php\/data-models-contribution-api\/","url_meta":{"origin":1501,"position":2},"title":"Data Models Contribution API","author":"maestro","date":"30\/11\/2020","format":false,"excerpt":"The schemas to be accepted in the Smart Data Model initiative need to include a description for every property. In order to review your data models before submission, it should pass this test. Call: https:\/\/smartdatamodels.org\/extra\/check_schema.php Parameters: (Mandatories) schemaUrl: The link to the RAW version of the schema (see example) mail:\u2026","rel":"","context":"In &quot;Smart Cities domain&quot;","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":698,"url":"https:\/\/smartdatamodels.org\/index.php\/drafting-service-for-checking-properties-of-a-new-data-model\/","url_meta":{"origin":1501,"position":3},"title":"Drafting service for checking properties of a new data model","author":"maestro","date":"08\/10\/2020","format":false,"excerpt":"We are in the way of creating a service for those contributors willing to contribute with a complete data model. The service is under debugging, so it cannot be trusted for production purposes. Let us know issues here In order to access it has to access this URL (https:\/\/smartdatamodels.org\/extra\/check_properties.php) with\u2026","rel":"","context":"In &quot;Internal&quot;","block_context":{"text":"Internal","link":"https:\/\/smartdatamodels.org\/index.php\/category\/internal\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2020\/10\/Selection_156.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1641,"url":"https:\/\/smartdatamodels.org\/index.php\/create-your-data-model-with-a-google-spreadsheet\/","url_meta":{"origin":1501,"position":4},"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 &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\/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":1501,"position":5},"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 &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\/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":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1501","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=1501"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1501\/revisions"}],"predecessor-version":[{"id":1502,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1501\/revisions\/1502"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=1501"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=1501"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=1501"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}