DPV Framework: Necessity, Consequences, and Mechanics

Hi,

Here's an overview of what I propose for the next dpv meeting:

Necessity Types: A complete list of the necessity types we identified,
covering various scenarios outlined in the GDPR.

Legal Bases: All the legal bases for processing personal data as specified
in the GDPR.

Consequences of Failure to Provide Data: An extensive list of potential
consequences, covering a wide range of scenarios across different
industries and contexts.

Properties: The key properties used to link necessity types, legal bases,
and consequences to processing activities.

Automatic Mechanics: The rules we developed to automatically associate
appropriate consequences based on necessity types, legal bases, and other
factors.

Usage Guidelines: Important considerations for implementing and using this
framework effectively.

Example Usage: A practical example showing how the framework can be applied
to a real-world scenario.

Key Automation Features: These include automatic inference of necessity
types, prediction of consequences, generation of compliance documentation,
risk assessment support, consistency checking, and dynamic updates based on
changing circumstances or regulations.
Implementation Example: The Python code snippet demonstrates how such a
system might be structured, with methods for processing activities,
inferring necessity types, predicting consequences, and generating various
outputs.

This framework provides a comprehensive and flexible approach to describing
the necessity of data processing, its legal basis, and the potential
consequences of not providing data. It allows for precise, machine-readable
representations of these important aspects of data processing.Here is the
proposed DPV Framework for Necessity, Consequences, and Mechanics 1.
Necessity Types

   1. dpv:StatutoryNecessity
   2. dpv:ContractualNecessity
   3. dpv:EntryIntoContractNecessity
   4. dpv:VitalInterestNecessity
   5. dpv:PublicInterestNecessity
   6. dpv:OfficialAuthorityNecessity
   7. dpv:LegitimateInterestNecessity
   8. dpv:EmploymentLawNecessity
   9. dpv:SocialSecurityLawNecessity
   10. dpv:LegalClaimsNecessity
   11. dpv:PreventiveMedicineNecessity
   12. dpv:PublicHealthNecessity
   13. dpv:ArchivingResearchStatisticsNecessity
   14. dpv:SubstantialPublicInterestNecessity

2. Legal Bases

   1. dpv:Consent
   2. dpv:Contract
   3. dpv:LegalObligation
   4. dpv:VitalInterest
   5. dpv:PublicInterest
   6. dpv:LegitimateInterest
   7. dpv:ExplicitConsent
   8. dpv:EmploymentSocialSecurityLaw
   9. dpv:ProtectVitalInterests
   10. dpv:LegitimateActivitiesOfFoundation
   11. dpv:ManifestlyPublicInformation
   12. dpv:LegalClaims
   13. dpv:SubstantialPublicInterest
   14. dpv:PreventiveOccupationalMedicine
   15. dpv:PublicHealthInterest
   16. dpv:ArchivingResearchStatistics

3. Consequences of Failure to Provide Data

   1. dpv:ServiceProvided
   2. dpv:ServiceNotProvided
   3. dpv:ServiceProvidedWithLimitedFunctionality
   4. dpv:DelayedServiceProvision
   5. dpv:AlternativeServiceOffered
   6. dpv:ReducedServiceQuality
   7. dpv:InabilityToFulfillLegalObligations
   8. dpv:TerminationOfExistingService
   9. dpv:InabilityToEnterIntoContract
   10. dpv:PartialServiceProvision
   11. dpv:IncreasedServiceCost
   12. dpv:LossOfPersonalization
   13. dpv:ExclusionFromSpecificFeatures
   14. dpv:DelayedApplicationProcessing
   15. dpv:InabilityToVerifyIdentity
   16. dpv:ReductionInServiceSecurity
   17. dpv:LimitedCustomerSupport
   18. dpv:ExclusionFromLoyaltyPrograms
   19. dpv:InabilityToComplyWithRegulations
   20. dpv:LimitedAccountFunctionality
   21. dpv:InabilityToProcessPayments
   22. dpv:ExclusionFromCommunityFeatures
   23. dpv:InabilityToProtectVitalInterests
   24. dpv:InabilityToEstablishLegalClaims
   25. dpv:LimitedLegalSupport
   26. dpv:InabilityToProvideHealthCare
   27. dpv:ExclusionFromResearch
   28. dpv:LimitedDataAnalysis
   29. dpv:ExclusionFromPublicServices

4. Properties

   1. dpv:hasNecessityType
   2. dpv:hasLegalBasis
   3. dpv:hasConsequence

5. Automatic Mechanics
- If dpv:hasNecessityType is dpv:StatutoryNecessity:

   - Default dpv:hasConsequence to dpv:InabilityToFulfillLegalObligations,
   dpv:InabilityToComplyWithRegulations
   - If dpv:hasLegalBasis is dpv:LegalObligation, also add
   dpv:ServiceNotProvided

- If dpv:hasNecessityType is dpv:ContractualNecessity:

   - Default dpv:hasConsequence to dpv:ServiceNotProvided,
   dpv:TerminationOfExistingService
   - If dpv:hasPersonalDataCategory includes dpv:FinancialData, also add
   dpv:InabilityToProcessPayments

- If dpv:hasNecessityType is dpv:EntryIntoContractNecessity:

   - Default dpv:hasConsequence to dpv:InabilityToEnterIntoContract,
   dpv:ServiceNotProvided

- If dpv:hasNecessityType is dpv:VitalInterestNecessity:

   - Default dpv:hasConsequence to dpv:InabilityToProtectVitalInterests,
   dpv:ServiceNotProvided

- If dpv:hasNecessityType is dpv:PublicInterestNecessity or
dpv:OfficialAuthorityNecessity:

   - Default dpv:hasConsequence to dpv:LimitedServiceProvision,
   dpv:ExclusionFromSpecificFeatures

- If dpv:hasNecessityType is dpv:LegitimateInterestNecessity:

   - Default dpv:hasConsequence to
   dpv:ServiceProvidedWithLimitedFunctionality, dpv:LossOfPersonalization

- If dpv:hasNecessityType is dpv:EmploymentLawNecessity or
dpv:SocialSecurityLawNecessity:

   - Default dpv:hasConsequence to dpv:DelayedApplicationProcessing,
   dpv:InabilityToFulfillLegalObligations

- If dpv:hasNecessityType is dpv:LegalClaimsNecessity:

   - Default dpv:hasConsequence to dpv:InabilityToEstablishLegalClaims,
   dpv:LimitedLegalSupport

- If dpv:hasNecessityType is dpv:PreventiveMedicineNecessity or
dpv:PublicHealthNecessity:

   - Default dpv:hasConsequence to dpv:LimitedServiceProvision,
   dpv:InabilityToProvideHealthCare

- If dpv:hasNecessityType is dpv:ArchivingResearchStatisticsNecessity:

   - Default dpv:hasConsequence to dpv:ExclusionFromResearch,
   dpv:LimitedDataAnalysis

- If dpv:hasNecessityType is dpv:SubstantialPublicInterestNecessity:

   - Default dpv:hasConsequence to dpv:LimitedServiceProvision,
   dpv:ExclusionFromPublicServices

- If dpv:hasLegalBasis is dpv:Consent or dpv:ExplicitConsent:

   - Allow all consequence types
   - Default to dpv:ServiceProvidedWithLimitedFunctionality,
   dpv:LossOfPersonalization

- For all necessity types:

   - If dpv:hasPersonalDataCategory includes dpv:IdentificationData, add
   dpv:InabilityToVerifyIdentity
   - If processing involves online services, add
   dpv:LimitedAccountFunctionality, dpv:ExclusionFromCommunityFeatures

- Industry-specific rules: a. For financial services:

   - Add dpv:IncreasedServiceCost, dpv:ExclusionFromLoyaltyPrograms b. For
   e-commerce:
   - Add dpv:LossOfPersonalization, dpv:ExclusionFromLoyaltyPrograms c. For
   social media platforms:
   - Add dpv:ExclusionFromCommunityFeatures, dpv:LimitedAccountFunctionality

- Data sensitivity rules:

   - If dpv:hasPersonalDataCategory includes any special category data
   (e.g., dpv:HealthData, dpv:BiometricData):
      - Add dpv:IncreasedServiceCost, dpv:ReductionInServiceSecurity

- Default fallback:

   - If no specific rules apply, default to
   dpv:ServiceProvidedWithLimitedFunctionality, dpv:PartialServiceProvision

6. Usage Guidelines

   1. Each Processing Activity should be associated with at least one
   Necessity Type and one Legal Basis.
   2. Multiple Consequences can be associated with a single Processing
   Activity.
   3. The Automatic Mechanics provide intelligent defaults but should not
   be considered exhaustive or inflexible.
   4. Human oversight is crucial for ensuring the appropriateness of the
   assigned Consequences.

7. Example Usage (in Turtle format)

turtle
Copy
@prefix dpv: <http://w3id.org/dpv#> .@prefix ex: <http://example.com/> .
ex:MarketingDataProcessing a dpv:ProcessingActivity ;
    dpv:hasPersonalDataCategory dpv:ContactData, dpv:BehavioralData ;
    dpv:hasNecessityType dpv:LegitimateInterestNecessity ;
    dpv:hasLegalBasis dpv:LegitimateInterest ;
    dpv:hasConsequence dpv:ServiceProvidedWithLimitedFunctionality,
                       dpv:LossOfPersonalization,
                       dpv:ExclusionFromLoyaltyPrograms .

This example demonstrates how a marketing-related data processing activity
might be described using this framework, including multiple data
categories, a specific necessity type, legal basis, and several potential
consequences of failure to provide data.
Key Automation Features

   1. Necessity Type Inference:
      - Automatically suggest the most appropriate necessity type based on
      the purpose of processing and intended legal basis.
   2. Consequence Prediction:
      - Apply the automatic mechanics to predict likely consequences of
      failure to provide data.
      - Consider industry-specific rules and data sensitivity in
      predictions.

Implementation Example

python
class DPVProcessor:
    def __init__(self):
        self.necessity_types = load_necessity_types()
        self.legal_bases = load_legal_bases()
        self.consequences = load_consequences()
        self.automatic_mechanics = load_automatic_mechanics()

    def process_activity(self, activity_data):
        necessity_type = self.infer_necessity_type(activity_data)
        legal_basis = activity_data['legal_basis']
        consequences = self.predict_consequences(necessity_type,
legal_basis, activity_data)

        return {
            'necessity_type': necessity_type,
            'legal_basis': legal_basis,
            'consequences': consequences,
            'ropa_entry': self.generate_ropa_entry(activity_data,
necessity_type, consequences),
            'privacy_notice_section':
self.generate_privacy_notice(activity_data, consequences),
            'risk_score': self.calculate_risk_score(necessity_type,
consequences)
        }

    def infer_necessity_type(self, activity_data):
        # Logic to infer necessity type based on purpose and legal basis
        pass

    def predict_consequences(self, necessity_type, legal_basis, activity_data):
        # Apply automatic mechanics rules to predict consequences
        pass

    def generate_ropa_entry(self, activity_data, necessity_type, consequences):
        # Generate RoPA entry in required format
        pass

    def generate_privacy_notice(self, activity_data, consequences):
        # Generate relevant section for privacy notice
        pass

    def calculate_risk_score(self, necessity_type, consequences):
        # Calculate initial risk score for the processing activity
        pass
# Usage
processor = DPVProcessor()
result = processor.process_activity({
    'purpose': 'Marketing',
    'legal_basis': 'LegitimateInterest',
    'data_categories': ['ContactData', 'BehavioralData'],
    'industry': 'E-commerce'})


-- 
Georg Philip Krog

signatu <https://signatu.com>