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DTSTART;TZID=Europe/Stockholm:20261027T110000
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DTSTAMP:20260916T093614Z
CREATED:20260916T093613Z
LAST-MODIFIED:20260916T093614Z
UID:10001893-1793098800-1793102400@www.scilifelab.se
SUMMARY:When every hypothesis is published: AI and the exploitation of Open Science Assets
DESCRIPTION: Open science has given us a shared public good\, in the form of publications and public datasets\, free to access and reuse by anyone. But AI can now generate\, test and write up hypotheses against those assets faster than our community can evaluate them. This seminar looks at what happens to open repositories when they become inputs to industrial-scale hypothesis generation. We will also provide case studies of outputs that can be generated in under an hour\, and examples of the impact on the literature (including the de facto banning of some open science resources altogether). It also asks what data stewards\, funders and publishers can realistically do about it. \n\n\n\nPresenters:  \n\n\n\nMatt Spick Institute for People-Centred AI\, University of Surrey\, UK \n\n\n\nMatt Spick is a Lecturer in Health and Biomedical Data Analytics at the University of Surrey and a member of the Institute for People-Centred AI. His research focuses on AI\, research integrity\, Open Science and the detection of problematic scientific publishing. \n\n\n\n Danny Maupin School of Health Sciences\, University of Surrey\, UK \n\n\n\nDanny Maupin is a Research Fellow in Health Data Sciences at the University of Surrey. His research spans digital health\, AI and research integrity\, including how generative AI is changing research practices and the use of Open Science resources. \n\n\n\nThe session will conclude with an open Q&A\, providing an opportunity to ask questions and interact with presenters. \n\n\n\nMore Information\n\n\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. \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.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. \n\n\n\nThe events are open to everyone working at or affiliated with a Swedish research institute or university. We welcome all researchers\, educational professionals\, staff\, RDM professionals\, and others with an interest in life sciences\, from all university levels. The events are informal and inclusive\, so feel welcome to join and participate in our interesting discussions! \n\n\n\nThe events will be recorded and published openly after the seminars on the SciLifeLab YouTube channel. The slides will be made available at our SciLifeLab Data Repository.More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ \n\n\n\nIf you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.seFor more information or inquiries\, please contact us at  data-management@scilifelab.se
URL:https://www.scilifelab.se/event/when-every-hypothesis-is-published-ai-and-the-exploitation-of-open-science-assets/
LOCATION:Online event via Zoom
ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20261103T100000
DTEND;TZID=Europe/Stockholm:20261103T170000
DTSTAMP:20260925T122137Z
CREATED:20260618T112246Z
LAST-MODIFIED:20260925T122137Z
UID:10001844-1793700000-1793725200@www.scilifelab.se
SUMMARY:Research Data Management in Life Science - Gothenburg
DESCRIPTION:Make the most of your research data\n\n\n\nHow can you effectively manage\, share and safeguard your research data while following current requirements and best practices? \n\n\n\nJoin SciLifeLab Data Centre\, National Bioinformatics Infrastructure Sweden (NBIS) and SciLifeLab Gothenburg for an interactive event on research data management in the life sciences. Local and national experts will provide practical guidance and discuss available support for research data handling\, GDPR\, FAIR principles and Open Science. \n\n\n\nThe event is aimed at life-science researchers and research infrastructure staff in the Gothenburg area who want to strengthen their data management practices and learn more about available support. \n\n\n\nThe format will be informal and interactive\, with plenty of opportunities to ask questions\, share experiences and join the discussion. \n\n\n\nWelcome to join us! \n\n\n\nRegister here\n\n\n\nRegistration deadline: Tuesday\, October 27\, 2026 \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 for research – Sharing code the right way\nResearch depends on code\, but without open and FAIR practices\, code can be difficult to understand\, reproduce\, and reuse. Open-source refers to code that is not only available\, but also licensed for free use\, modification\, and sharing. This workshop provides an overview of open and FAIR practices for research code\, and provides practical resources at three different levels; beginner\, intermediate and advanced. 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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