Research Data Management in Life Science – Linköping
September 21, 2026 @ 10:00 – 17:00 CEST
Location: Linköping University – Campus University Hospital. On-site event arranged by SciLifeLab Linköping
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.
SciLifeLab Data Centre, National Bioinformatics Infrastructure Sweden (NBIS) and the LiU legal office welcome all life-science researchers and infrastructure experts in Linköping to join this event where we explore support for research data handling, GDPR and data management practices according to Findable, Accessible, Interoperable and Reusable (FAIR) principles and Open Science.
We specifically invite SciLifeLab Group leaders, Fellows and WCMM Fellows, and all PhD´s and PostDocs in their research groups to join this interactive event.
This event is informal and inclusive, so feel welcome to join and participate in our interesting discussions!
PROGRAM
10.00-10.15: Welcome coffee/tea
Everyone is welcome for the coffee/tea. You can just walk in between 10.00-10.15.
10.15-10.30: Introduction
Introduction of the program.
10:30-12:00: Writing a strong Data Management Plan (DMP) – Improving the lifecycle of your research data
Managing research data involves a complex web of decisions. How do you ensure nothing falls through the cracks and that your data remains FAIR? The answer is a Data Management Plan (DMP).
This hands-on workshop emphasises data management planning at all project phases to keep your data secure and organised. Participants will gain direct access to the Data Stewardship Wizard (DSW) tool to begin drafting a customised DMP tailored to life science research projects.
Related content
12.00-13.00: Lunch break
Lunch is not included in this event. At Linköping University and the surrounding campus you will find several options for lunch.
13.00-14.30: Handling personal data in Life Science – Navigating GDPR and Swedish legislation
Are you confident in how your research project documents and processes personal data? This seminar guides you through the legal landscape, from the GDPR to specific Swedish national laws. Using a practical research scenario, we will clarify essential roles and terms, including:
- Research principal (forskningshuvudman): Understanding the role and responsibilities of the organisation hosting the research.
- Data controllers vs. processors: Identifying who is responsible for each stage of data processing.
- Sensitive data: Best practices for securely sharing biomedical research data in FEGA Sweden while remaining compliant.
14.30-15.30: Marketplace: an interactive exhibition – including fika
Visit the Interactive Marketplace to explore local and national research data management services in an engaging and informal setting. Meet experts, discover practical support and tools, join interactive discussions, and learn how different services can support your research — all through inspiring stands, conversation-focused posters, and hands-on activities like the Data Management Ferris Wheel.
Interested in contributing to the Marketplace and showcasing your data management support services? Please contact josefine.sandstrom@liu.se.
15.30-17.00: Open source software for research – Sharing code the right way
Research depends on software, but without open and FAIR practices, software can be difficult to understand, reproduce, and reuse. Open-source software means code that is not only available, but also licensed for free use, modification, and sharing. This workshop provides an overview of open science and FAIR software practices, and introduces a practical checklist for open and FAIR research software. Participants will apply these principles in a hands-on tutorial to improve the openness, transparency, and reusability of their research code.
17.00: End of the event
The event will end at 17.00. Thank you all for participating.
More information on Research Data Management and Open Science
Research Data Management (RDM) concerns the organization, storage, preservation, and sharing of data that is collected and analyzed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.
Open Science is a set of principles and practices that aim to make scientific research from all fields accessible to everyone for the benefits of scientists and society as a whole. Open science is about making sure not only that scientific knowledge is accessible but also that the production of that knowledge itself is inclusive, equitable and sustainable.
Contact information: NBIS, SciLifeLab Data Centre – Data Management, and SciLifeLab Linköping.
For questions, please contact josefine.sandstrom@liu.se
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