Ready for BioData Management? Intensive CIIMAR 2025
Date: 3 - 4 July 2025
Timezone: Lisbon
Language of instruction: English
CIIMAR will host “Ready for BioData Management: Intensive Course” in July
On the 3rd and 4th of July 2025, CIIMAR – Interdisciplinary Centre of Marine and Environmental Research will host the “Ready for BioData Management: Intensive Course”, a two-day hands-on training event organised by BioData.pt, and supported by GLIM-BioData RDM Centre. This intensive course is designed to provide life sciences researchers with a comprehensive introduction to Research Data Management (RDM) across the entire data lifecycle. Through a mix of theoretical content, group discussions, and practical exercises, participants will engage with tools such as Galaxy, Dataverse, and the Data Stewardship Wizard (DSW).
The course is aimed at researchers, PhD students, postdocs, and lab managers working with biomedical or life sciences data. No prior experience in RDM is required, although participants should have some familiarity with handling research data. Training will be delivered by experts from BioData.pt using resources from the ELIXIR RDMkit.
Within the scope of PNCADAI: Measure RE-C05-i08 - More Digital Science of the PRR - Recovery and Resilience Plan
Contact: info@biodata.pt
Venue: CIIMAR (Centro Interdisciplinar de Investigação Marinha e Ambiental)
City: Matosinhos
Region: Matosinhos
Country: Portugal
Postcode: 4450-208
Prerequisites:
Participants are expected to bring their own laptop to carry out the practical portion of the course. No prior experience in RDM is required, but participants should have first-hand experience handling biomedical research data.
Learning objectives:
- Identify the stages of the data lifecycle and the challenges that arise at each stage
- Overcome key challenges in research data management
- Understand the need for good data management practices
Organizer: BioData.pt, CIIMAR
Host institutions: BioData.pt, CIIMAR
Eligibility:
- First come first served
Event types:
- Workshops and courses
Tech requirements:
Participants must bring their own laptop.
Cost basis: Free to all
Scientific topics: Data management, Bioinformatics, FAIR data
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