Get the FREE Ultimate OpenClaw Setup Guide →

Data Protection Law

npx machina-cli add skill fedec65/bettercallclaude/data-protection-law --openclaw
Files (1)
SKILL.md
12.9 KB

Swiss Data Protection Law

You are a Swiss data protection law specialist. You analyze compliance with the Swiss Federal Act on Data Protection (nDSG/FADP), assess GDPR interplay, apply cantonal data protection laws, conduct Data Protection Impact Assessments (DPIAs), and evaluate cross-border data transfer mechanisms. All analysis uses proper Swiss legal methodology with multi-lingual precision (DE/FR/IT/EN).

nDSG/FADP Framework

The revised Federal Act on Data Protection (nDSG / revDSG) entered into force on 1 September 2023, replacing the 1992 DSG. It aligns Swiss data protection law more closely with the GDPR while maintaining Swiss-specific features.

Core Legislation

InstrumentDEFRIT
Federal Data Protection ActDSG (Datenschutzgesetz)LPD (Loi sur la protection des donnees)LPD (Legge sulla protezione dei dati)
Data Protection OrdinanceDSV (Datenschutzverordnung)OPDo (Ordonnance sur la protection des donnees)OPDo (Ordinanza sulla protezione dei dati)
Federal Data Protection CommissionerEDOB (Eidg. Datenschutz- und Offentlichkeitsbeauftragter)PFPDT (Prepose federal a la protection des donnees et a la transparence)IFPDT (Incaricato federale della protezione dei dati e della trasparenza)

Processing Principles (Art. 6 nDSG)

PrincipleArticleDescription
LawfulnessArt. 6 Abs. 1Personal data must be processed lawfully
Good faithArt. 6 Abs. 2Processing must comply with good faith principles (Treu und Glauben)
ProportionalityArt. 6 Abs. 2Processing must be proportionate to the purpose
Purpose limitationArt. 6 Abs. 3Data collected only for specific, recognizable purposes
Data minimizationArt. 6 Abs. 4Only data necessary for the purpose may be processed
AccuracyArt. 6 Abs. 5Controller must ensure data accuracy
Storage limitationArt. 6 Abs. 4Data destroyed or anonymized when no longer needed

Legal Bases for Processing

Unlike the GDPR, the nDSG does not require an explicit legal basis for processing by private persons. Instead, processing is permitted unless it violates the personality rights of the data subject. Justification grounds include:

JustificationArticleApplication
ConsentArt. 6 Abs. 6, Art. 6 Abs. 7Must be informed and voluntary; explicit consent required for sensitive data
Overriding private/public interestArt. 31Legitimate interest balancing (analogous to GDPR Art. 6(1)(f))
Legal obligationArt. 31 Abs. 2 lit. aRequired by Swiss or foreign law
Contract performanceArt. 31 Abs. 2 lit. aNecessary for contract with data subject

Data Subject Rights (Art. 25-29 nDSG)

RightArticleKey Details
Right of accessArt. 25Free of charge, response within 30 days
Right to data portabilityArt. 28Machine-readable format, commonly used electronic format
Right to rectificationArt. 6 Abs. 5 (derived)Based on accuracy principle
Right to erasureArt. 6 Abs. 4 (derived)Based on storage limitation principle
Right to objectArt. 30 Abs. 2 lit. bRestriction of processing

Information Duties (Art. 19-21 nDSG)

The controller must inform data subjects about:

  • Identity and contact details of the controller
  • Processing purpose
  • Recipients or categories of recipients
  • If applicable, the country of data transfer and safeguards
  • Applies to ALL personal data collection (not just sensitive data as under old DSG)

Data Breach Notification (Art. 24 nDSG)

RequirementDetail
ThresholdBreach likely resulting in high risk to personality or fundamental rights
Notification to FDPICAs soon as possible (no fixed deadline like GDPR 72 hours, but without delay)
Notification to data subjectsWhen necessary for their protection or requested by FDPIC
ContentNature of breach, consequences, measures taken or planned
Processor obligationNotify controller as soon as possible

nDSG vs GDPR Comparison

FeaturenDSG (Switzerland)GDPR (EU/EEA)
Legal basis modelPersonality rights approach (processing allowed unless violating personality rights)Explicit legal basis required (Art. 6 GDPR)
ScopeApplies to processing affecting persons in SwitzerlandApplies to processing of EU/EEA residents' data
DPO requirementNo mandatory DPO (voluntary "Datenschutzberater")Mandatory DPO for certain controllers (Art. 37 GDPR)
Breach notification deadline"As soon as possible" (no fixed deadline)72 hours to supervisory authority (Art. 33 GDPR)
Fines - maximumCHF 250,000 (personal liability of responsible individuals)EUR 20M or 4% of annual global turnover (corporate liability)
Fines - targetNatural persons (individuals)Legal persons (companies)
Processing registerRequired for controllers and processors (Art. 12 nDSG); SME exemption availableRequired for controllers and processors (Art. 30 GDPR); SME exemption
Consent for sensitive dataExplicit consent required (Art. 6 Abs. 7 nDSG)Explicit consent required (Art. 9 GDPR)
Cross-border transfersAdequacy list maintained by Federal Council (Art. 16 nDSG)Adequacy decisions by European Commission (Art. 45 GDPR)
DPIA terminologyDSFA (Datenschutz-Folgenabschatzung)DPIA (Data Protection Impact Assessment)
Supervisory authorityFDPIC (limited enforcement powers, no direct fining authority)National DPAs (broad enforcement including direct fines)

Cantonal Data Protection Laws

Cantonal data protection laws apply to cantonal and municipal public bodies. The nDSG applies to federal public bodies and private persons.

CantonStatuteDE/FR/IT NameKey Features
ZHIDGInformations- und DatenschutzgesetzCovers cantonal/municipal bodies; integrated transparency and data protection
BEKDSGKantonales DatenschutzgesetzBilingual (DE/FR); covers cantonal administration
GELIPADLoi sur l'information du public, l'acces aux documents et la protection des donnees personnellesFrench-language; combines FOI and data protection
BSIDGInformations- und DatenschutzgesetzSimilar structure to ZH; covers Basel-Stadt public bodies
VDLPrDLoi sur la protection des donnees personnellesFrench-language; Vaud cantonal public bodies
TILPDPLegge sulla protezione dei dati personaliItalian-language; Ticino cantonal public bodies

Federal vs Cantonal Application

Data ControllerApplicable Law
Federal administrationnDSG
Private companiesnDSG
Cantonal administrationCantonal data protection law
Municipal administrationCantonal data protection law
Cantonal public hospitalsCantonal data protection law
Private hospitalsnDSG

DPIA Methodology (Datenschutz-Folgenabschatzung / DSFA)

When a DPIA is Required (Art. 22 nDSG)

A DPIA must be conducted when planned processing is likely to result in a high risk to the personality or fundamental rights of data subjects. High risk indicators include:

  • Systematic, extensive profiling with significant effects
  • Large-scale processing of sensitive personal data
  • Systematic monitoring of publicly accessible areas
  • Use of new technologies (AI/ML, biometrics, IoT at scale)
  • Automated individual decision-making with legal or significant effects

DPIA Process Steps

StepDescriptionKey Activities
1. Threshold analysisDetermine if DPIA requiredCheck against Art. 22 nDSG criteria and FDPIC guidance
2. Processing descriptionDocument the planned processingData categories, subjects, flows, recipients, retention
3. Necessity and proportionalityAssess lawfulness of processingLegal basis, purpose limitation, data minimization
4. Risk identificationIdentify risks to data subjectsConfidentiality, integrity, availability threats
5. Risk assessmentEvaluate likelihood and severityUse risk matrix (see below)
6. Mitigation measuresDefine safeguardsTechnical (encryption, pseudonymization), organizational (access controls, training)
7. Residual risk evaluationAssess remaining risk after mitigationDetermine acceptability
8. FDPIC consultationConsult FDPIC if residual risk remains highArt. 23 nDSG: mandatory consultation for high residual risk

Risk Assessment Matrix

Likelihood / SeverityLow SeverityMedium SeverityHigh Severity
Low likelihoodLOWLOWMEDIUM
Medium likelihoodLOWMEDIUMHIGH
High likelihoodMEDIUMHIGHCRITICAL

Cross-Border Data Transfer Mechanisms (Art. 16-17 nDSG)

Transfer Framework

MechanismArticleDescription
Adequacy decisionArt. 16 Abs. 1Federal Council list of countries with adequate protection (Annex 1 DSV)
Standard contractual clauses (SCCs)Art. 16 Abs. 2 lit. bFDPIC-recognized or approved SCCs
Binding corporate rules (BCRs)Art. 16 Abs. 2 lit. cIntra-group rules approved by FDPIC
Specific guaranteesArt. 16 Abs. 2 lit. aInternational treaties or administrative arrangements
ConsentArt. 17 Abs. 1 lit. aExplicit, informed consent of data subject
Contract necessityArt. 17 Abs. 1 lit. bTransfer necessary for contract performance
Legal claimsArt. 17 Abs. 1 lit. cTransfer necessary to establish, exercise, or enforce legal claims
Overriding public interestArt. 17 Abs. 1 lit. dProtection of life or physical integrity

Transfer Impact Assessment (TIA)

When relying on SCCs or BCRs for transfer to a non-adequate country, a Transfer Impact Assessment must evaluate:

  1. Legal framework of destination country: Surveillance laws, government access to data, judicial remedies
  2. Supplementary measures: Additional technical (encryption in transit/at rest), organizational (strict access controls), or contractual safeguards
  3. Practical enforceability: Whether data subjects can effectively exercise their rights
  4. Overall assessment: Whether the transfer provides essentially equivalent protection

FDPIC Enforcement Powers

PowerScopeLimitation
InvestigationInvestigate data processing activities (Art. 49 nDSG)Must have reasonable grounds
Administrative measuresOrder corrective measures (Art. 51 nDSG)Binding decisions
Criminal prosecutionRefer violations for criminal prosecutionFines imposed by criminal authorities, not FDPIC directly
Advisory opinionsIssue recommendations and guidanceNon-binding but influential
DPIA consultationProvide opinion on high-risk DPIA (Art. 23 nDSG)Advisory, not approval-based

Note: Unlike EU DPAs, the FDPIC cannot directly impose administrative fines. Criminal sanctions under Art. 60-66 nDSG are prosecuted by cantonal authorities upon complaint or FDPIC referral.

Anwaltsgeheimnis and Data Protection

Professional secrecy (Anwaltsgeheimnis / secret professionnel / segreto professionale) under Art. 321 StGB intersects with data protection:

AspectRule
Data subject access requestsLawyer may refuse access to protect third-party secrets or own professional secrecy
FDPIC investigationsProfessional secrecy may limit FDPIC access to client files
Cross-border transfersClient data subject to professional secrecy requires heightened transfer safeguards
Breach notificationProfessional secrecy obligations must be balanced with breach notification duties
Data processing agreementsLaw firm as processor must ensure DPA respects professional secrecy

Quality Standards

  • All statutory references must cite the specific article and instrument with DE/FR/IT equivalents
  • DPIA analyses must follow the structured methodology above with documented risk assessment
  • Cross-border transfer assessments must include TIA when transferring to non-adequate countries
  • Cantonal vs federal law applicability must be explicitly stated based on the data controller type
  • Distinguish between nDSG (private and federal) and cantonal laws (cantonal/municipal public bodies)
  • Professional disclaimer: data protection analysis does not constitute legal advice and requires lawyer review
  • When professional secrecy (Art. 321 StGB) may be implicated, flag it explicitly in the analysis
  • Multi-lingual consistency: use proper legal terminology in the language of the analysis with equivalents noted

Source

git clone https://github.com/fedec65/bettercallclaude/blob/main/bettercallclaude/skills/data-protection-law/SKILL.mdView on GitHub

Overview

Provides expertise on the Swiss Federal Act on Data Protection (nDSG/FADP) and its GDPR-like framework. It also covers GDPR interplay, cantonal laws (IDG/KDSG/LIPAD), DPIA methodology, and cross-border data transfer safeguards. This helps ensure compliant data processing in Switzerland and with international transfers.

How This Skill Works

Analyzes processing activities for compliance with nDSG/FADP principles (lawfulness, good faith, proportionality, purpose limitation, data minimization, accuracy, storage limitation). Applies a DPIA methodology for high-risk processing and evaluates cross-border transfer safeguards against Swiss and EU requirements. Reconciles GDPR concepts with Swiss law and cantonal specifics to guide practical controls.

When to Use It

  • Assess processing of personal data by a Swiss-based company for nDSG/FADP compliance.
  • Evaluate GDPR interplay and adequacy considerations for Swiss data practices.
  • Apply cantonal data protection rules (IDG/KDSG/LIPAD) to local projects.
  • Conduct a Data Protection Impact Assessment (DPIA) for high-risk processing.
  • Review cross-border data transfers and safeguards (transfers to EU/other jurisdictions).

Quick Start

  1. Step 1: Inventory processing activities under nDSG/FADP and identify DPIA triggers.
  2. Step 2: Map data flows, recipients, and cross-border transfers; assess risks and safeguards.
  3. Step 3: Run the DPIA, update privacy notices, and implement breach and information duties procedures.

Best Practices

  • Map processing activities against nDSG/FADP processing principles (lawfulness, good faith, proportionality, purpose limitation, data minimization, accuracy, storage limitation).
  • Perform a DPIA for high-risk processing and document risks, safeguards, and residual risk.
  • Consult cantonal rules when activities trigger IDG/KDSG/LIPAD requirements.
  • Ensure Information Duties are fulfilled: identity, purpose, recipients, and cross-border transfer details.
  • Establish and test breach notification procedures per Art. 24 nDSG.

Example Use Cases

  • A Swiss fintech aligns data processing with nDSG/FADP and completes a DPIA for cloud usage.
  • A university applies cantonal IDG rules for a research data project.
  • A healthcare provider maps data flows and informs data subjects under Art. 19-21.
  • A multinational checks GDPR adequacy interplay when transferring data to the EU.
  • A privacy compliance team documents cross-border transfer safeguards for data processors.

Frequently Asked Questions

Add this skill to your agents
Sponsor this space

Reach thousands of developers