6bb8ac20ba
- Introduced MainPart class to represent principal portions with quantified values, including attributes for part type and currency code. - Added OutputData class to specify output characteristics from devices/services, including format, description, and destination URL. - Created canonical_value, capacity, capacity_type, and capacity_value slots for enhanced data representation. - Archived and migrated various slots related to data sensitivity, dataset descriptions, and titles to align with new structures. - Implemented has_or_had_caption and has_or_had_main_part slots to support media accessibility and primary portion representation. - Enhanced data license policy slot to define custodian data licensing and openness policies.
117 lines
4.7 KiB
YAML
117 lines
4.7 KiB
YAML
id: https://nde.nl/ontology/hc/class/DataSensitivityLevel
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name: data_sensitivity_level_class
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title: DataSensitivityLevel Class
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description: >-
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Data sensitivity classification level for records and information assets.
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Used to categorize the confidentiality requirements and access restrictions
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for administrative records, documents, and data systems.
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Based on common information classification schemes including:
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- ISO 27001 information security standards
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- GDPR special category data requirements
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- Dutch government classification (Rijksoverheid)
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prefixes:
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linkml: https://w3id.org/linkml/
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hc: https://nde.nl/ontology/hc/
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dcterms: http://purl.org/dc/terms/
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schema: http://schema.org/
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imports:
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- linkml:types
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- ../slots/has_or_had_label
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- ../slots/has_or_had_description
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- ../slots/has_or_had_short_code
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default_prefix: hc
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classes:
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DataSensitivityLevel:
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class_uri: hc:DataSensitivityLevel
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description: >-
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Data sensitivity classification level.
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**Standard Classification Levels**:
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| Level | Short Code | Description | Access |
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|-------|------------|-------------|--------|
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| Public | PUBLIC | No restrictions on disclosure | Anyone |
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| Internal | INTERNAL | For internal use only | Staff only |
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| Confidential | CONFIDENTIAL | Need-to-know basis | Authorized staff |
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| Strictly Confidential | STRICTLY_CONFIDENTIAL | Highly restricted | Named individuals |
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| Personal Data | PERSONAL_DATA | Contains PII (GDPR Article 6) | Data subjects + authorized |
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| Special Category | SPECIAL_CATEGORY | Sensitive personal data (GDPR Article 9) | Strictly controlled |
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**GDPR Alignment**:
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- PERSONAL_DATA: Covers GDPR Article 6 personal data
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- SPECIAL_CATEGORY: Covers GDPR Article 9 special categories (health, religion,
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ethnicity, political opinions, trade union membership, genetic/biometric data,
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sexual orientation)
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**Dublin Core**: Maps to dcterms:accessRights for access classification.
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exact_mappings:
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- dcterms:accessRights
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close_mappings:
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- schema:accessMode
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slots:
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- has_or_had_label
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- has_or_had_short_code
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- has_or_had_description
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slot_usage:
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has_or_had_label:
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description: Human-readable name for the sensitivity level.
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range: string
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required: true
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examples:
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- value: "Public"
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description: No access restrictions
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- value: "Strictly Confidential"
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description: Highest restriction level
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has_or_had_short_code:
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description: >-
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Short code identifier for the sensitivity level.
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Standard codes: PUBLIC, INTERNAL, CONFIDENTIAL, STRICTLY_CONFIDENTIAL,
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PERSONAL_DATA, SPECIAL_CATEGORY
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range: string
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required: true
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pattern: "^[A-Z][A-Z0-9_]*$"
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examples:
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- value: "PUBLIC"
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description: No restrictions
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- value: "CONFIDENTIAL"
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description: Need-to-know basis
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- value: "SPECIAL_CATEGORY"
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description: GDPR Article 9 sensitive data
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has_or_had_description:
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description: Detailed description of what this sensitivity level means and when to apply it.
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range: string
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required: false
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examples:
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- value: "Contains employee health records - requires explicit consent and strict access controls"
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description: SPECIAL_CATEGORY example
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annotations:
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specificity_score: 0.45
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specificity_rationale: >-
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Data sensitivity levels are moderately specific - used primarily in
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records management and information governance contexts.
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custodian_types: '["A", "O", "R"]'
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custodian_types_rationale: >-
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Most relevant for Archives (A), Official institutions (O), and
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Research centers (R) that manage sensitive records.
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examples:
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- value:
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has_or_had_label: "Confidential"
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has_or_had_short_code: "CONFIDENTIAL"
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has_or_had_description: "Need-to-know basis - restricted to authorized personnel"
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description: Standard confidential classification
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- value:
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has_or_had_label: "Special Category Data"
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has_or_had_short_code: "SPECIAL_CATEGORY"
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has_or_had_description: "GDPR Article 9 sensitive personal data - health records, religious affiliation"
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description: GDPR special category classification
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- value:
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has_or_had_label: "Personnel Data"
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has_or_had_short_code: "PERSONAL_DATA"
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has_or_had_description: "Contains employee personal information subject to GDPR"
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description: Personal data classification for HR records
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