EP PerMed Trainining in Data Management in Personalised Medicine

February 5, 2026
Data Life Cycle according to EP PerMed’s Guidelines for Data Reusability for Personalised Medicine Researchers

General aim of the Training in Data Management

The overall purpose of the Training in Data Management is to enable a responsible and effective use of data, by endowing researchers, clinicians, and data professionals with the knowledge, skills, and best practices necessary to manage, share, and interpret complex biomedical data in a way that supports personalised healthcare solutions. The training is made in collaboration with the Portuguese and Norwegian nodes of ELIXIR, the research infrastructure on life science data.

Specific aims of the Training

Two-day hands-on Intensive Research Data Management (RDM) Course, guiding participants across the data lifecycle, highlighting the key challenges and questions to address at each stage, and showcasing tools and resources that researchers can use to aid them. The course will feature theoretical sessions that promote group discussions, intertwined with practical sessions consisting of exercises in small groups, that allow participants to both get acquainted with the tools and get involved in key RDM challenges. Key objectives:

  • Enhance Data Literacy and Competency;
  • Promote FAIR Data Principles;
  • Facilitate Regulatory and Ethical Compliance;
  • Improve Research Efficiency and Reproducibility;
  • Accelerate Translational Research and Innovation.

Target audience

The training is specifically tailored to the personalised medicine scientific community (researchers, clinicians, healthcare providers, lab managers), applying to EP PerMed (and other) potential funding schemes.

Logistics and Communication

Format
Two-half day physical event.
In person training, with theoretical sessions followed by practical exercises adapted to PM research community, with a focus on handling human genomic data.

Target groups
PM scientific community (researchers, clinicians, healthcare providers, lab managers)

Expected number of participants
30 physical trainees

Date
05-06 February 2026

Location
Paris (France), back-to-back with the ERA PerMed JTC 2022 Midterm Seminar (on invitation only)

Selection of participants
Candidates need to apply on a platform (Microsoft Forms), providing curricular information, such as: professional experience and achievements (PM related), publications and motivation to be selected for the training. The deadline for applications is 7 November 2025.

Trainers

Daniel Faria – ELIXIR-PT / INESC-ID / Instituto Superior Técnico

Jorge Oliveira – ELIXIR-PT / INESC-ID / Instituto Superior Técnico

Korbinian Bösl – ELIXIR-NO / University of Bergen

Juan González – EP PerMed / IACS Biocomputing

Agenda

Day 1, 5 February 2026

TimeSession
09:00 – 09:30EP PerMed Introduction
09:30 – 10:30Introduction to RDM
10:30 – 10:45Coffee Break
10:45 – 11:15Data Reuse Overview
Secondary use of data and key RDM issues
11:15 – 11:45Data Reuse Hands-On
Group exercise using Beacon and EGA for data discovery
11:45 – 12:15Data Collection Overview
Key RDM issues during data collection
12:15 – 13:00Data Collection Hands-On
Group exercise showcasing good data collection practices using an electronic lab notebook
13:00 – 14:00Lunch Break
14:00 – 14:45Data Collection Hands-On (cont.)
14:45 – 15:15Data Processing & Analysis Overview
Key RDM issues during data processing and analysis
15:15 – 16:30Data Processing & Analysis Hands-On
Group exercise showcasing data processing and analysis workflows on Galaxy
16:30 – 16:45Wrap Up
Quick discussion of the day’s lessons

Day 2, 6 February 2026

TimeSession
09:30 – 09:40Quick Recap
Short summary of day 1 and introduction to day 2
09:40 – 10:00Data Preservation Overview
Key RDM issues regarding data preservation
10:00 – 10:45Data Storage Hands-On
Group exercise estimating storage costs (using DSW)
10:45 – 11:00Coffee Break
11:00 – 11:30Data Sharing Overview
Key RDM issues concerning data sharing
11:30 – 13:00Data Sharing Hands-On
Group exercise on human data deposition EGA
13:00 – 14:00Lunch Break
14:00 – 14:30Data Management Planning Overview
Discussion of the key issues at the stage of planning
14:30 – 16:00Data Management Planning Hands-On
Group exercise drafting a data management plan (using DSW)
16:00 – 16:30Wrap Up & Feedback
Quick discussion of the course’s lessons and filling of feedback form