Workshop Overview
This workshop provides a comprehensive introduction to research data management, guiding PhD students through the full data lifecycle—from data creation and organization to analysis, sharing, and long-term preservation. Participants will learn key concepts such as FAIR principles, reproducibility, and open science, as well as how to design an effective
Data Management Plan.
The course also covers practical aspects including data storage strategies, handling large datasets, basic statistical analysis, data cleaning and validation, and ensuring data consistency. In addition, it addresses ethical considerations, GDPR compliance, intellectual property, and the responsible use and preservation of research data.
Key Topics
This training program in Data Management for IMB-CNM is designed around three core pillars:
- Scientific data storage
- Data characterization and quality criteria
- Scientific data lifecycle
Program Structure
The workshop consists of four sessions:
- One session of 3 hours
- Three sessions of 3.5 hours
The additional 30 minutes in the extended sessions will be dedicated to reviewing assignments and exercises from the previous session.
Sessions will be held biweekly, and the working language of the course and all materials will be English.
The course will be delivered by experts from La Salle URL University.
Eligibility
This workshop is available to a maximum of 12 PhD students in their 1st or 2nd year, with priority given to 1st-year PhD students.
Schedule (Total: 13.5 hours)
- Session 1: June 9, 2026 | 3:00 pm – 6:00 pm (In-person)
- Session 2: June 10, 2026 | 2:30 pm – 6:00 pm (In-person)
- Session 3: June 16, 2026 | 2:30 pm – 6:00 pm (In-person)
- Session 4: June 18, 2026 | 2:30 pm – 6:00 pm (In-person)
Registration
Please sign up by May 6, 2026.