{ "$schema": "http://json-schema.org/schema", "$schemaVersion": "0.0.2", "$id": "https://smart-data-models.github.io/dataModel.DataQuality/DataQualityAssessment/schema.json", "title": "Smart Data Models - Data Quality Assessment schema", "modelTags": "", "derivedFrom": "", "license": "https://smart-data-models.github.io/dataModel.DataQuality/DataQualityAssessment/LICENSE.md", "description": "This entity describes the data quality properties of a measurement, such as temperature.", "type": "object", "required": [ "id", "type" ], "allOf": [ { "$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/GSMA-Commons" }, { "$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/Location-Commons" }, { "properties": { "type": { "type": "string", "enum": [ "DataQualityAssessment" ], "description": "Property. NGSI Entity type. It has to be DataQualityAssessment" }, "dateCalculated": { "type": "string", "format": "date-time", "description": "Property. Date of the calculated entity defined by the user." }, "outlier": { "type": "object", "description": "Property. Includes information about the outlier characteristics of the measurement.", "properties": { "isOutlier": { "type": "boolean", "description": "Property. Determine whether the measurement has been considered an outlier or not." }, "methodology": { "anyOf": [ { "type": "string", "minLength": 1, "maxLength": 256, "pattern": "^[\\w\\-\\.\\{\\}\\$\\+\\*\\[\\]`|~^@!,:\\\\]+$", "description": "Property. Identifier format of any NGSI entity" }, { "type": "string", "format": "uri", "description": "Property. Identifier format of any NGSI entity" } ], "description": "Relationship. Reference to the other entity including AI methodology information." } } }, "synthetic": { "type": "object", "description": "Property. Includes information about the origin of the measurement.", "properties": { "isSynthetic": { "type": "boolean", "description": "Property. Determine whether the measurement has been created synthetically or not." }, "methodology": { "anyOf": [ { "type": "string", "minLength": 1, "maxLength": 256, "pattern": "^[\\w\\-\\.\\{\\}\\$\\+\\*\\[\\]`|~^@!,:\\\\]+$", "description": "Property. Identifier format of any NGSI entity" }, { "type": "string", "format": "uri", "description": "Property. Identifier format of any NGSI entity" } ], "description": "Relationship. Reference to the other entity including AI methodology information." } } }, "accuracy": { "type": "number", "description": "Property. Accuracy measures the maximum systematic numerical error produced in a sensor measurement." }, "timeliness": { "type": "number", "description": "Property. Average timeliness of the data-stream. Units:'minutes'." }, "completeness": { "type": "number", "minimum": 0, "maximum": 1, "description": "Property. Completeness quantifies the number of missed measurements or observations in a given time window. Units:'P1'." }, "precision": { "type": "number", "description": "Property. Precision measures the standard deviation of a dataset. That is, it measures how close the values in the dataset are to each other." } } } ] }