{
    "$schema": "http://json-schema.org/schema",
    "$schemaVersion": "0.0.3",
    "$id": "https://smart-data-models.github.io/dataModel.DataQuality/DataQualityAssessment/schema.json",
    "title": "Smart Data Models - Data Quality Assessment schema",
    "modelTags": "",
    "derivedFrom": "",
    "license": "https://smart-data-models.github.io/dataModel.DataQuality/DataQualityAssessment/LICENSE.md",
    "description": "This entity describes the data quality properties of a measurement, such as temperature.",
    "type": "object",
    "required": [
        "id",
        "type"
    ],
    "allOf": [
        {
            "$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/GSMA-Commons"
        },
        {
            "$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/Location-Commons"
        },
        {
            "properties": {
                "type": {
                    "type": "string",
                    "enum": [
                        "DataQualityAssessment"
                    ],
                    "description": "Property. NGSI Entity type. It has to be DataQualityAssessment"
                },
                "dateCalculated": {
                    "type": "string",
                    "format": "date-time",
                    "description": "Property. Date of the calculated entity defined by the user"
                },
                "outlier": {
                    "type": "object",
                    "description": "Property. Includes information about the outlier characteristics of the measurement",
                    "properties": {
                        "isOutlier": {
                            "type": "boolean",
                            "description": "Property. Determine whether the measurement has been considered an outlier or not"
                        },
                        "outlierScore": {
                            "type": "number",
                            "description": "Property. A score indicating the degree of outlierness"
                        },
                        "methodology": {
                            "anyOf": [
                                {
                                    "type": "string",
                                    "minLength": 1,
                                    "maxLength": 256,
                                    "pattern": "^[\\w\\-\\.\\{\\}\\$\\+\\*\\[\\]`|~^@!,:\\\\]+$",
                                    "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"
                        }
                    }
                },
                "duplicate": {
                    "type": "object",
                    "description": "Property. Includes information about duplicated data",
                    "properties": {
                        "isDuplicate": {
                            "type": "boolean",
                            "description": "Property: Determine whether the measurement is duplicated or not"
                        },
                        "foundMatches": {
                            "type": "array",
                            "description": "Property: If this is a duplicate, determine measurements it does match with",
                            "items": {
                                "type": "string"
                            }
                        }
                    }
                },
                "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"
                }
            }
        }
    ]
}