🇳🇱 Netherlands — AP Blacklist (Art. 35(4))
Authority: Autoriteit Persoonsgegevens (AP). Document: "Besluit lijst verwerkingen persoonsgegevens waarvoor een gegevensbeschermingseffectbeoordeling (DPIA) verplicht is." Publication: Staatscourant 2019, nr. 64418 (27 November 2019). Legal reference: BWBR0042812. Official source: autoriteitpersoonsgegevens.nl/documenten/lijst-verplichte-dpia; wetten.overheid.nl/BWBR0042812. EDPB consistency: EDPB Opinion 16/2018 under Art. 64(1)(a). Character: Broad and detailed (17 entries). Strong emphasis on covert investigation, blacklists, employee monitoring, IoT, and behavioral influencing. Many entries require "large-scale" and/or "systematic monitoring" as qualifying conditions.
Blacklist Entries
1. Covert investigation (heimelijk onderzoek)
Large-scale processing and/or systematic monitoring where data is collected without informing the data subject. Private detective agencies, fraud investigation, online enforcement (e.g., copyright), covert employer surveillance for theft/fraud.
EDPB criteria: 3 (monitoring) + 7 (vulnerable, if employees).
2. Blacklists (zwarte lijsten)
Processing of criminal conviction data, unlawful/nuisance behavior data, or poor payment behavior data that is shared with third parties. Insurance blacklists, hospitality industry warning lists, retail exclusion lists, telecom provider lists, employment agency lists.
Why it matters: The Netherlands explicitly targets the practice of inter-organizational blacklisting — a significant concern given the density of shared warning systems in Dutch financial and commercial sectors.
EDPB criteria: 4 (criminal/sensitive data) + 6 (matching datasets) + 9 (blocking rights).
3. Fraud prevention (fraudebestrijding)
Large-scale processing of special category data and/or systematic monitoring for fraud prevention. Social services fraud screening, insurance fraud departments.
EDPB criteria: 1 (scoring) + 4 (sensitive data) + 5 (large scale).
4. Credit scoring (creditscores)
Large-scale processing and/or systematic monitoring producing estimates of creditworthiness, expressed as credit scores.
EDPB criteria: 1 (scoring) + 2 (automated decisions) + 5 (large scale).
5. Financial situation (financiële situatie)
Large-scale processing and/or systematic monitoring of financial data revealing income, assets, or spending patterns. Bank statements, account balances, payment records, mobile/PIN payment data.
EDPB criteria: 4 (highly personal) + 5 (large scale).
6. Genetic data (genetische persoonsgegevens)
Large-scale processing and/or systematic monitoring of genetic data. DNA analysis, bio-databases, genetic profiling.
EDPB criteria: 4 (Art. 9 sensitive) + 5 (large scale).
7. Health data (gezondheidsgegevens)
Large-scale processing of health data by healthcare institutions, occupational health services (arbodiensten), reintegration companies, special educational institutions, insurers, research institutes. Includes electronic exchange of health data.
Note: Individual practitioners treating individual patients are typically exempt (not "large scale").
EDPB criteria: 4 (Art. 9 sensitive) + 5 (large scale).
8. Collaborative partnerships (samenwerkingsverbanden)
Sharing of personal data in partnerships where municipalities or authorities exchange special/sensitive data with other public or private parties. Data on health, addiction, poverty, debts, unemployment, social problems, criminal matters, youth care. Examples: neighborhood teams, safety houses (veiligheidshuizen), information hubs.
Why it matters: Unique to the Netherlands. Reflects the Dutch tradition of multi-agency collaboration (wijkteams, veiligheidshuizen) where sensitive data from health, social services, police, and municipal agencies is combined. These partnerships create significant profiling and discrimination risks.
EDPB criteria: 4 (sensitive data) + 6 (matching datasets) + 7 (vulnerable).
9. Camera surveillance (cameratoezicht)
Large-scale and/or systematic monitoring of publicly accessible areas with cameras, webcams, or drones.
EDPB criteria: 3 (monitoring) + 5 (large scale).
10. Flexible camera surveillance (flexibel cameratoezicht)
Large-scale and/or systematic use of body-worn cameras, helmet cameras (fire/ambulance personnel), dashcams by emergency services.
Why it matters: The Netherlands is one of few Member States to explicitly distinguish body-worn and vehicle-mounted cameras from fixed CCTV, recognizing their distinct risk profile (mobility, closer proximity, less predictability for data subjects).
EDPB criteria: 3 (monitoring) + 8 (innovative tech).
11. Employee monitoring (controle werknemers)
Large-scale and/or systematic monitoring of employee activities. Email and internet monitoring, network traffic logging, email scanning, GPS in company vehicles, camera surveillance for workplace theft/fraud.
EDPB criteria: 3 (monitoring) + 7 (vulnerable — employees).
12. Location data (locatiegegevens)
Large-scale and/or systematic monitoring of location data of natural persons. Car scanning, navigation systems, smartphones with GPS, public transport passenger location data, vehicle tracking.
EDPB criteria: 3 (monitoring) + 4 (highly personal — location) + 5 (large scale).
13. Communication data (communicatiegegevens)
Large-scale and/or systematic monitoring of communications data including metadata, unless strictly necessary for network/service integrity and security.
EDPB criteria: 3 (monitoring) + 4 (highly personal) + 5 (large scale).
14. Internet of Things (IoT)
Large-scale and/or systematic monitoring of data from internet-connected devices: smart TVs, smart home appliances, connected toys, smart city applications, smart energy meters, medical devices, wearables.
EDPB criteria: 3 (monitoring) + 4 (highly personal) + 8 (innovative tech).
15. Profiling (profilering)
Systematic and comprehensive evaluation of personal aspects based on automated processing (profiling). Assessments of professional performance, student performance, economic situation, health, preferences, reliability, behavior.
EDPB criteria: 1 (scoring) + 2 (automated decisions).
16. Observation and influencing of behavior (observatie en beïnvloeding van gedrag)
Large-scale processing involving systematic observation or influencing of behavior through automated processing, including data collected for online behavioral advertising.
Why it matters: Explicitly targets adtech and behavioral targeting — one of the few national blacklists to directly name online behavioral advertising as a DPIA trigger.
EDPB criteria: 1 (scoring) + 3 (monitoring) + 8 (innovative tech).
17. Biometric data (biometrische gegevens)
Large-scale and/or systematic processing of biometric data for identifying natural persons. Fingerprint recognition, facial recognition, iris scanning, voice recognition.
Note: Under Dutch implementation of GDPR (UAVG), biometric processing for unique identification is in principle prohibited. Processing is permitted only when strictly necessary for authentication or security purposes.
EDPB criteria: 4 (Art. 9 sensitive) + 5 (large scale).
Key Dutch Considerations
Samenwerkingsverbanden (collaborative partnerships): The Dutch multi-agency collaboration model (wijkteams, veiligheidshuizen) is a distinctive feature. When advising on processing in the Netherlands, specifically ask whether data is shared between public and/or private parties in partnership structures — this is a common pattern that triggers a DPIA.
Behavioral advertising: Entry 16 explicitly names online behavioral advertising as a DPIA trigger. This is relevant for adtech companies, publishers using targeted advertising, and platforms processing behavioral data for ad personalization.
Covert investigation: Entry 1 covers not only employer investigations but also private detective agencies and online enforcement (e.g., copyright trolling). The key trigger is collecting data without the data subject's knowledge.
The AP list is explicitly non-exhaustive: Controllers must still assess whether their processing requires a DPIA even if not listed.