This training material is Module 4 of 5 of the training series by the EPFL Library RDM team. It focuses on practical, ethics‑driven Research Data Management for projects involving personal or sensitive data, with a particular emphasis on concrete anonymization and pseudonymization practices, privacy‑preserving workflows, and day‑to‑day choices in handling such data. Participants are guided through identifying direct and indirect identifiers, designing data flows that minimise re‑identification risks, choosing appropriate tools for collection, storage and sharing, and preparing datasets for safe collaboration, archiving and publication. Brief overviews of relevant legal and institutional frameworks are provided only as a basis for understanding why and how these practical measures are needed, with EPFL ethics and legal experts contributing to the review and live discussion of these aspects.

Designed for an instructor-led online or onsite workshop (~90 min, introductory level), it is published as an Open Educational Resource (OER). The package includes slides (.pptx and .odp with some speaker notes), a static .pdf export, two datasets for exercises (.csv) with their own README, and a README for this training module.

Here are the OER related to the five modules:
Module 1: Training "ABC of Research Data Management (RDM)"
Module 2: Training "Data Management Planning & Funding"
Module 3: Training "Data Organization & Storage Solutions"
Module 4: Training "Ethics in Research Data Management: Anonymization and Best Practices"
Module 5: Training "Data/Code Publication"