dpia
Skill0 starsChanged 12 days agoMITView on GitHub
Conduct a Data Protection Impact Assessment (GDPR Art. 35) or privacy impact assessment — screening criteria, data flow description, necessity and proportionality, risks to individuals (LINDDUN), mitigations, DPO consultation and residual risk sign-off. Use when launching processing likely to be high risk (monitoring, large-scale sensitive data, profiling, new technology including AI), or when asked whether a DPIA is required.
3 other projects use a version of this.
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- grcmana/grc-ostheir own version, first seen Nov 8, 2026
- grcmana/grcskillstheir own version, first seen Nov 8, 2026
- zsrrica-pixel/gdpr-compliance-plugintheir own version, first seen Nov 1, 2026
Other versions3 projects use a version of this.
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Wrote their own version · 3
- grcmana/grc-os★ 2same name
- grcmana/grcskills★ 2same name
- zsrrica-pixel/gdpr-compliance-plugin★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Files
Data Protection Impact Assessment
Is a DPIA required? (screening)
GDPR Art. 35(3) mandatory cases: systematic and extensive profiling with significant effects; large-scale special-category or criminal data; systematic monitoring of public areas. EDPB (WP248) criteria — two or more usually means DPIA: evaluation/scoring, automated decisions with legal effect, systematic monitoring, sensitive data, large scale, matching/combining datasets, vulnerable data subjects (employees, children), innovative technology (e.g. AI, biometrics), preventing exercise of rights. Check your supervisory authority's published list.
Contents
- Description: purposes, data categories, data subjects, sources, recipients/processors, transfers outside EEA, retention, systems (data-flow diagram).
- Necessity & proportionality: lawful basis (Art. 6, Art. 9 condition), data minimization, accuracy, retention, transparency, rights handling, processor contracts (Art. 28), transfer safeguards.
- Risks to individuals (not the company): illegitimate access, unwanted modification, disappearance; plus privacy threats from LINDDUN — Linkability, Identifiability, Non-repudiation, Detectability, Disclosure, Unawareness, Non-compliance. Rate likelihood and severity.
- Measures: pseudonymization, encryption, access control, aggregation, purpose restriction controls, retention automation, user controls, transparency notices, human review of automated decisions.
- Residual risk & sign-off: DPO advice recorded; if high residual risk remains → prior consultation with the supervisory authority (Art. 36).
- Review trigger: change of purpose, new data, new technology, incidents.
Security team contribution
Threat model (threat-modeling), access and logging design, encryption/key management, retention enforcement, breach detection capability, vendor security assessment for processors.
Output
Risk | Source (LINDDUN/security) | Likelihood | Severity | Measure | Owner | Residual risk
Related skills
threat-modeling, telemetry-minimization, data-classification, vendor-security-assessment
References
- GDPR Art. 35: https://gdpr-info.eu/art-35-gdpr/
- WP248 rev.01 DPIA guidelines (endorsed by EDPB): https://ec.europa.eu/newsroom/article29/items/611236
- ICO DPIA guidance: https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/accountability-and-governance/data-protection-impact-assessments-dpias/
- LINDDUN: https://linddun.org/
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