DATA

DATA

Example

DOMAIN DECLARATION

Domain Declaration

DATA = PRIVACY_STANDARD × CANONIC = Structure(privacy) × (C1, C2, Temporal, Relational, C5) = owned data/privacy vertical

LATTICE FORMULA

Lattice Formula

DATA = C1 ∩ C2 ∩ Temporal ∩ Relational ∩ C5 = PATENT (#57)

Data/Privacy typically lacks structural standard because:

  • C1: Privacy policies must be stated
  • C2: Consent and processing must be documented
  • Temporal: Retention periods, deletion timelines
  • Relational: Jurisdiction determines applicable law
  • C5: Regulators enforce (DPAs, FTC)
  • No universal data structure standard (varies by domain)
AXIOMS

Axioms

1. Data Subject Rights

Individuals MUST be able to access, correct, delete, and port their personal data.

Example: A user requests deletion of their account. The system must: identify all personal data, delete from active systems, remove from backups within retention period, and confirm deletion to the user within 30 days.

2. Lawful Basis

Personal data processing MUST have a documented lawful basis.

Example: Collecting email addresses for marketing requires: consent (opt-in checkbox), record of consent (timestamp, IP, text shown), and mechanism to withdraw consent (unsubscribe link).

3. Purpose Limitation

Personal data MUST be collected for specified purposes and not processed incompatibly.

Example: Data collected for order fulfillment (shipping address) cannot be used for targeted advertising without separate consent. Each purpose requires its own lawful basis.

4. Data Minimization

Only personal data necessary for the specified purpose MUST be collected.

Example: A newsletter signup should collect email address only. Requesting phone number, address, and date of birth violates minimization unless each is necessary for the stated purpose.

5. Cross-Border Transfer

Personal data transferred across jurisdictions MUST have appropriate safeguards.

Example: Transferring EU personal data to US requires: Standard Contractual Clauses, transfer impact assessment, and supplementary measures. The transfer mechanism must be documented and maintained.

SUBDOMAINS

Subdomains

Pattern: All privacy laws (PATENT #57)

SubdomainRegulationFormulaJurisdiction
European UnionGDPR5 governance checksEU/EEA
CaliforniaCCPA/CPRA5 governance checksCalifornia
BrazilLGPD5 governance checksBrazil
CanadaPIPEDA5 governance checksCanada
VirginiaVCDPA5 governance checksVirginia
ColoradoCPA5 governance checksColorado
REGULATORY MAPPING

Regulatory Mapping

FrameworkLatticeKey Requirements
GDPR5 governance checksConsent, rights, DPO, breach notification
CCPA/CPRA5 governance checksOpt-out, deletion, disclosure, CPPA enforcement
LGPD5 governance checksConsent, DPO, ANPD oversight
PIPEDA5 governance checksConsent, access, OPC complaints
Children (COPPA)5 governance checksParental consent, FTC enforcement
Health (HIPAA)5 governance checksSee /MEDICINE/ domain
EXAMPLE: GDPR COMPLIANCE VERTICAL

Example: GDPR Compliance Vertical

`` DECLARE(GDPR) = GDPR_REGULATION × CANONIC

Where: GDPR provides Requirements: - Lawful basis (Art. 6) - Data subject rights (Art. 15-22) - Data protection principles (Art. 5) - Accountability (Art. 24)

CANONIC provides Governance: - C1: Privacy policy, ROPA - C2: Consent records, DPIA - Temporal: Retention schedules, breach timelines - Relational: Jurisdiction, transfer mechanisms - C5: DPO, supervisory authority

Result: GDPR = PATENT (#57)

Compliance Lifecycle: Map — Data inventory Assess — DPIA completed Implement — Controls deployed Document — ROPA maintained Enforce — DPO oversight ``

EXAMPLE: DATA SUBJECT REQUEST HANDLING

Example: Data Subject Request Handling

`` DECLARE(DSR) = DATA_RIGHTS × CANONIC

Where: Data Rights Framework: - Access (Art. 15) - Rectification (Art. 16) - Erasure (Art. 17) - Portability (Art. 20)

CANONIC provides Governance: - C1: Request received, scope defined - C2: Identity verification, data located - Temporal: Response deadline (30 days) - Relational: Jurisdiction, exceptions - C5: Fulfillment, confirmation

Result: DSR = PATENT (#57)

Request Lifecycle: Receive — Request logged Verify — Identity confirmed Scope — Data identified Fulfill — Action completed Confirm — Response sent ``

DATA PROCESSING RECORDS

Data Processing Records

Record TypeLatticePurpose
Processing Activity(#26)ROPA entry
Consent Record(#22)Lawful basis proof
DPIA(#23)Risk assessment
Transfer MechanismBUSINESSCross-border safeguard
Breach RecordBUSINESSIncident documentation
DSR LogBUSINESSRequest tracking
VALIDATORS

Validators

ValidatorChecksExample Failure
C1Privacy policy existsNo cookie consent notice
C2Consent records maintainedMissing opt-in timestamp
TemporalRetention limits enforcedData kept beyond period
RelationalJurisdiction identifiedNo transfer mechanism
C5DPO appointed (if required)Missing breach notification
APPLICATION

Application

To create a CANONIC data/privacy vertical:

Identify applicable regulations (GDPR, CCPA, etc.) Create scope with CANON.md inheriting /DATA/ Define privacy principles as axioms Document processing activities (ROPA) Establish retention schedules (temporal limits) Map data flows (jurisdictional boundaries) Implement subject rights (access, deletion) Appoint oversight (DPO if required)

Result: Owned data/privacy vertical with regulatory compliance.

TALK AUTO