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DTSTART;TZID=Europe/Stockholm:20261103T100000
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DTSTAMP:20260619T035926
CREATED:20260618T112246Z
LAST-MODIFIED:20260618T112923Z
UID:199503-1793700000-1793725200@www.scilifelab.se
SUMMARY:Research Data Management in Life Science - Gothenburg
DESCRIPTION:Location: Birgit Thilander\, Academicum\, Medicinaregatan 3\, Gothenburg. On-site event co-arranged by SciLifeLab Gothenburg\, Data Centre and NBIS. \n\n\n\n\nRegister here\n\n\n\n\nRegistration deadline: Tuesday\, October 27\, 2026 \n\n\n\nDiscover 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. \n\n\n\nSciLifeLab Data Centre\, National Bioinformatics Infrastructure Sweden (NBIS) and SciLifeLab Gothenburg welcome all life-science researchers and infrastructure experts in the Gothenburg area 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. \n\n\n\nThis event is informal and inclusive\, so feel welcome to join and participate in our interesting discussions! \n\n\n\nPROGRAM\n\n\n\n10.00-10.15: Welcome coffee/tea \n\n\n\n10.15-10.30: Introduction \n\n\n\n10:30-12:00: Writing a strong Data Management Plan (DMP) – Improving the lifecycle of your research data in an AI-aware research landscape\nManaging research data involves a complex web of decisions. How do you ensure that nothing falls through the cracks\, that your data remains secure and organised\, and that your project supports FAIR data principles from start to finish? A strong Data Management Plan (DMP) helps researchers think through these questions before problems arise. \n\n\n\nThis hands-on workshop emphasises data management planning across all phases of a research project\, from data collection and documentation to storage\, sharing\, preservation\, and reuse. Participants will gain direct access to the Data Stewardship Wizard (DSW) tool and begin drafting a customised DMP tailored to life science research projects. \n\n\n\nNew for this year\, the workshop will also briefly address the growing role of AI tools in DMP writing. Many researchers can now ask an AI system to generate a DMP in seconds\, but a well-written text is not the same as a well-considered plan. We will discuss how AI can support drafting\, reflection\, and quality control\, while also highlighting the risks of generic\, incomplete\, or misleading answers. The focus will remain on helping researchers understand the decisions behind their DMPs and use available tools responsibly. \n\n\n\n \n\n\n\n \n\n\n\n\n12.00-13.00: Lunch \n\n\n\n13.00-14.30: Handling personal data in Life Science – Navigating GDPR\, Swedish legislation\, and responsible AI use in research\nAre you confident in how your research project documents\, processes\, and protects personal data? Life science research often involves complex data flows\, multiple actors\, and sensitive information\, making it essential to understand both the legal requirements and the practical responsibilities involved. \n\n\n\nThis seminar guides participants through the legal landscape\, from the GDPR to relevant Swedish national legislation. Using a practical research scenario\, we will clarify essential roles and concepts\, including: \n\n\n\n\nResearch principal (forskningshuvudman): Understanding the role and responsibilities of the organisation hosting the research.\n\n\n\nData controllers vs. processors: Identifying who is responsible for each stage of data processing\, including storage\, analysis\, sharing\, and long-term management.\n\n\n\nSensitive data: Understanding how biomedical research data should be handled\, protected\, and shared securely\, including practical considerations for services such as FEGA Sweden.\n\n\n\n\nNew for this year\, the seminar will also briefly address how GDPR affects the use of AI tools such as ChatGPT in research. Generative AI can support tasks such as drafting\, summarising\, coding\, documentation\, and project planning\, but it can also introduce risks when personal data\, sensitive data\, unpublished research material\, or confidential project information are entered into external tools. \n\n\n\nWe will discuss why AI use is not only a technical question\, but also a legal and organisational one: Who is responsible for the processing? What data can be shared with an AI tool? What should never be entered? How do researchers balance the benefits of AI with confidentiality\, accountability\, and compliance? \n\n\n\nThe aim is to help researchers make informed decisions when handling personal data in life science research\, including in an increasingly AI-supported research environment. \n\n\n\n\n14.30-15.30: Marketplace: an interactive exhibition – including fika\nVisit 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 gothenburg@scilifelab.se. \n\n\n\n\n15.30-17.00: Open source software for research – Sharing code the right way\nResearch 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. \n\n\n\n\n \n\n\n\nMore information on Research Data Management and Open Science\n\n\n\nResearch 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. \n\n\n\nOpen 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. \n\n\n\nContact information: NBIS\, SciLifeLab Data Centre – Data Management\, and SciLifeLab Gotehnburg. For questions\, please contact gothenburg@scilifelab.se
URL:https://www.scilifelab.se/event/research-data-management-in-life-science-gothenburg/
LOCATION:Birgit Thilander Lecture Hall\, Academicum\, Medicinaregatan 3\, Gothenburg
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/05/OpenScience-scaled.jpeg
ORGANIZER;CN="SciLifeLab Gothenburg":MAILTO:gothenburg@scilifelab.se
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