The 3 cases where appointing a DPO is mandatory (Article 37 GDPR explained simply)

The 3 cases where appointing a DPO is mandatory (Article 37 GDPR explained simply)

In brief

  • Appointing a DPO is mandatory in three cases (Article 37 of the GDPR): 1) the organisation is a public authority or public body; 2) its core activities involve regular and systematic monitoring of individuals on a large scale; 3) its core activities involve large-scale processing of sensitive data or data relating to criminal convictions. Outside these cases, appointment is recommended but optional.

The 3 cases where appointing a DPO is mandatory

Appointing a Data Protection Officer (DPO) is not systematic. The GDPR has defined three specific cases where this function becomes a legal obligation. Understanding these cases is essential for any organisation processing personal data. For a complete overview of the subject, see our complete guide to the outsourced DPO.

Case no. 1: public bodies

Article 37 of the GDPR clearly stipulates that any public authority or public body must appoint a DPO, regardless of its size or the type of data processed.

  • Local councils, departments, regions
  • Public hospitals, university hospitals
  • Public administrations (tax authorities, national education…)
  • Public industrial and commercial establishments (EPIC)

CNIL has firmly reiterated this obligation through formal notices and an exemplary sanction against a local council for non-appointment.

Case no. 2: regular and systematic monitoring on a large scale

This criterion concerns organisations whose core activities consist of monitoring individuals 'on a large scale'. Regular: continuous or recurring according to a defined rhythm. Systematic: automatic, pre-established and organised.

  • Advertising profiling (behavioural analysis for targeting)
  • Geolocation (GPS tracking of service vehicles)
  • Extended video surveillance monitored continuously
  • Platforms tracking user behaviour

A mobile application that tracks the movements of tens of thousands of users easily reaches the notion of 'large scale'.

Case no. 3: large-scale processing of sensitive data

Appointment is mandatory when core activities involve large-scale processing of sensitive data (Article 9: health, political opinions, religious beliefs, trade union membership, genetic or biometric data, sexual life or orientation) or data relating to criminal convictions (Article 10).

  • Healthcare establishments, clinics, laboratories
  • Medical-social structures (nursing homes, medico-educational institutes)
  • Companies analysing biometric data on a large scale

What if I'm not in any of these cases?

Appointment becomes optional, but CNIL strongly recommends it. A DPO, even outsourced and shared on a part-time basis, structures governance, reduces risk and demonstrates your good faith. Many principals now require an appointed DPO from their processors: it has become a criterion in tenders. An effective solution for small structures is the shared DPO.

What are the risks of non-appointment?

Failure to appoint, when it is mandatory, constitutes a breach of the GDPR subject to the sanctions of Article 83: up to €10 million or 2% of annual worldwide turnover. Beyond the fine, the absence of a DPO weakens the entire data governance and the relationship with authorities.

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Frequently asked questions

Does the threshold of 250 employees trigger the DPO obligation?

No. This threshold concerns the maintenance of the record of processing activities (Article 30 of the GDPR), not the appointment of the DPO. The obligation depends on the nature and scale of processing, not solely on the size of the organisation.

Can an SME of 15 people be required to have a DPO?

Yes. If it processes sensitive data on a large scale (e.g. e-health) or if its core activities consist of systematically monitoring individuals, it may be required to appoint a DPO.

How do I know if I'm operating at 'large scale'?

There is no single numerical threshold. The assessment is made on a case-by-case basis: number of individuals concerned, volume of data, duration and permanence of processing, geographical scope and nature of the data.