Data Management in Life Science
May 20, 2025 @ 08:00 – May 21, 2025 @ 17:00 CEST
Navigate Repositories, GDPR, and Support Networks with Confidence
Discover how to effectively manage, share, and safeguard your research data through practical guidance from both local and national experts. Engage in discussions on best practices grounded in the FAIR principles and Open Science.
This event is co-organized by the SciLifeLab Data Centre, NBIS, SciLifeLab Gothenburg, the Swedish National Data Service (SND), and local support teams at the University of Gothenburg and Chalmers.
We warmly welcome life science researchers at all career stages—from master’s students to principal investigators—as well as data stewards, technical staff, and infrastructure experts based in Gothenburg.
Program
May 20 – Europa, Conference Centre Wallenberg, Medicinaregatan 20A
10:00 – 10:30 “Fika” and registration
10:30-12:00 Good Data Management Practices – available services and support
Good data management practices are essential to increase the scientific and societal impact of your research. By adhering to the Open Science principles, and by making your research more FAIR – findable, accessible, interoperable, and reusable – you will increase the value of your research work. Doing this is easier than you might think, and there is a lot of research support available to guide you.
During this presentation you will get to know more about the different research support groups in Gothenburg (University of Gothenburg, and Chalmers University), and the national research support groups (SciLifeLab Data Centre, NBIS, and SND), who are available to help you during all phases of your research project.
This Open Lecture is for everyone working in academia or healthcare, who works with handling research data or would like to know more about this topic.
12:00 – 17:00 The DDLS Precision Medicine Diagnostics (PMD) Minisymposium 2025
Pioneering Data-Driven Precision Medicine and Diagnostics, will take place at the same venue immediately following the Data Management Seminar. We warmly encourage you to take the opportunity to attend both events!
May 20 – Birgit Thilander, Academicum, Medicinaregatan 3
13:00 – 16:00 Network Event – Connecting Service Providers
If you want to join, please reach out to us at gothenburg@scilifelab.se.
May 21 – Birgit Thilander, Academicum, Medicinaregatan 3
9:00-10:00 FAIR breakfast; An open forum for PhD students, Postdocs and Master Students
Here, young scientists gather for breakfast and discussions on FAIR principles and best practices for research data management.
FAIR stands for Findable, Accessible, Interoperable, and Reusable — key principles that ensure data is well-organized and reusable. Understanding and applying good data management from the start of a project is not only a requirement for many funders and journals, but also a valuable asset for researchers throughout their projects and beyond.
10:15-12:00 Workshop 1 – Data submission to public repositories.
Bring your laptop!
Making the data underlying your research accessible to others—whether openly or with restrictions—is a fundamental part of a FAIR research process. When data are properly described and shared via a trusted data repository, they can be re-used by you and others, enabling collaboration and ensuring transparency and long-term preservation. Research data repositories allow data to be shared as open as possible, as restricted as necessary, fulfilling FAIR while meeting legal, ethical, or contractual requirements.
This workshop will give you the why, where and how of data sharing via repository submission, including a hands-on exercise. No prior knowledge is required in order to attend this workshop.
Learning outcomes:
- Know the benefits of data sharing
- Know how to find a suitable repository for different types of data
- Have experience of a repository submission
13:15-15:00 Workshop 2 – GDPR for life science research
Bring your laptop!
The General Data Protection Regulation (GDPR) must be followed whenever personal data is processed. This workshop will introduce the fundamental concepts in the regulation and discuss what impact the regulation has on day-to-day research activities in the life sciences.
Learning outcomes:
- Have a basic understanding of what GDPR is and what the purposes the regulation has
- Have a basic understanding of central concepts in GDPR (for example personal data, special category (“sensitive”) data, data processing, data subject, data controller, data processor, lawful grounds and data protection principles)
- Understand how GDPR is relevant to life science research (including for example how to prevent re-identification)
- Provide some examples of best practices for how to comply with GDPR
Late registrations are still possible, but we cannot guarantee meals for those registering after May 15, 2025.
Google Calendar 
iCalendar 
