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GDPR Data processing modelFormation

By: Ludwig Karneth
PrivateHuman Resources
This processing model relates to the management of training requests and training periods completed, and the organization of training sessions and knowledge and training assessments

Purposes (2)

A purpose is the objective pursued by the setting up of your file. It indicates what the processing of personal data will be used for, its purpose. This purpose must be clear and understandable

Management of training requests and completed training periods
Organization of training sessions and evaluation of knowledge and training.
Legitimate interest
Response to training requests and follow-up of training by the employer.

Data categories (2)

Personal data is any information relating to an identified or identifiable natural person. A natural person can be identified either directly (eg surname and first name) or indirectly (eg phone number, social security number, email or postal address, but also voice or image)

Employee training

Data details

evaluation of knowledge and trainingrequired
organization of training sessionsrequired
Follow-up of vocational training requests and training periods completedrequired
foreign languages spokenrequired
Certificates and attestationsrequired

Data conservation rules

Active base:

Duration of the employment relationship

Intermediate archiving:

5 years after the employee leaves the organization

Employee identity

Model taken from the CNIL's HR reference framework (deliberation no. 2019-160 of November 21, 2019 adopting a reference framework relating to the processing of personal data implemented for personnel management purposes)

Data details

Type of driver's license
dependent children
Marital status
Family status
Passport numberrequired
Personal data
Business address
Photography (optional)optional
Date and place of birthrequired
First namerequired

Data conservation rules

Active base:

Data required for personnel management purposes are kept, in principle, for the duration of the employment relationship, unless otherwise stipulated by law or regulation.

Intermediate archiving:

5 years from the employee's departure from the organization.


Data subject (1)

A data subject is any person whose data is collected, retained or processed by the data processing. e.g. In a recruitement process, any candidate for a position proposed in recruitement management process

  • Employees

Ludwig Karneth
Ludwig Karneth

Created at:2023-08-08T12:03:15.4290664

Updated on:

License: © Creative commons :
Attribution / Pas d'utilisation commerciale
CC-BY-NC AttributionPas d'utilisation commerciale

Nb using:5

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