The advance workshop “Making Your Research Data FAIR » co-organized by our Open Science Unit at FBM/CHUV Library and the SIB/VitalIT training service should be a unique opportunity for scientists in the biomedical field and clinicians who are involved, at several possible levels, in Research Data Managementto to learn  how to make data compliant with RDM good practices and the FAIR principles.

This course is designed for participants who already have basic notions of Research Data Management and FAIR principles and would like to apply them on their data.

Workshops – 28-29 November 2023 – 2 days of lectures and practicals in english 

Day 1 (9:00 – 17:00)

Module I: Data Type & Organization

In this module, we will provide participants with good practices in file management such as data entry validation, folders organization, file naming, file format, and versioning. In particular, they will learn how to choose appropriate file formats for sharing, and what is important in data entry validation / data cleaning.

Module II: Ontologies as controlled vocabularies

How to make your research data better understandable by others, and consequently, more reusable? In this module, to answer this question, we will learn how to choose and apply ontologies as controlled vocabularies. Moreover, we will also provide guidelines of how to propose new terms to existing ontologies and when to build new ones.

Day 2 (9:00 – 17:00)

Module III: Data Documentation

During this module, participants will enhance their data documentation skills through metadata and readme files, using tools to facilitate efficient data organization, storage, retrieval, and sharing. Presented resources include specialized metadata standards (Datacite, OME, DDI, MIAME), domain-specific repositories, as well as a user-friendly automated approach to creating readme files.

Module IV: Data Protection

This module focuses on equipping participants with the skills and knowledge needed to handle sensitive information effectively. It covers anonymizing and de-identifying research data to ensure privacy and compliance with ethical and legal guidelines. Participants will learn to assess risks, remove identifiable information, and use privacy-preserving data sharing tools.

Teachers:

• Vassilios Ioannidis, PhD – Lead Computational Biologist at SIB/Vital-IT; Data Steward – FAIR Specialist at UNIRIS UNIL
• Cécile Lebrand, PhD – Head of Open Science service at FBM UNIL/CHUV; Data Steward at UNIRIS UNIL
• Tarcisio Mendes de Farias, PhD – Knowledge Representation Manager at SIB/Vital-IT
• Céline Racine, Research Data Management specialist at Unisanté.
• Prof. Jean Louis Raisaro, Data Science and Research Lead and Senior Scientist at the ICT Department and Precision Medicine Unit of Lausanne University Hospital (CHUV).
• Grégoire Rossier, PhD – Training Manager & Project Manager at SIB/Vital-IT & SIB/Training
• Prof. Aleksandar Vjestica, Research Group Leader at Center for Integrative Genomics, Faculty of Biology and Medicine, University of Lausanne

The registration fees for academics are 200 CHF and 1000 CHF for for-profit companies.

Detailed programme

For more information, please contact cecile.lebrand@chuv.ch