GDPR Data processing modelTraining Management – Staff Learning & Development

PrivateHuman resourcesPublicMost common processing activities

This processing concerns the planning, organisation, monitoring, and evaluation of employee training sessions and vocational learning activities. It ensures compliance with employment obligations and supports professional development.

Purposes (1)

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

Organization of training sessions

Contract

Article 6(1)(b) UK GDPR – performance of an employment contract, where training is required by role. Alternative basis (optional trainings): Article 6(1)(f) UK GDPR – legitimate interest in improving employee skills.

Data categories (1)

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)

Training organisation data

Data details

Training date / timerequired

Training requests and historyrequired

Name and surnamerequired

qualifications and diplomasrequired

Data conservation rules

Active base:

Active database: retained during employment + 1 year after training completion for audit/HR purposes.

Intermediate archiving:

Intermediate archive: retained up to 6 years after employment ends

Limitation period for employment-related claims: Limitation Act 1980.

Destruction

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

Created at:07/08/2023

Updated on:08/01/2025

Nb using:15

GDPR Data processing modelTraining Management – Staff Learning & Development

Purposes (1)

Data categories (1)

Training organisation data

Data subject (1)

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