Conferences and symposiums Symposium: Towards better science – FAIR and open research data in practice
Don’t miss this opportunity to be part of the journey towards a more transparent, collaborative and impactful scientific future at KI!
As we stand on the precipice of a new era in scientific research, the importance of transparent, accessible, and reusable data has never been greater. The Swedish government and the EU have set ambitious goals: all research data should be FAIR (Findable, Accessible, Interoperable, and Reusable) and open by 2026. The principle is “as open as possible, as restricted as necessary”. But what does that mean in practice for us at KI?
Join us at this symposium to hear about the work of the Open Science Working Group at KI, give suggestions for activities to improve open science at KI, and hear from KI researchers and core facility perspectives on open science and FAIR. This short symposium is organised by the Open Science Working Group under the Committee for Research.
No registration needed.
15:15-15:30 Open Science Working Group at KI and orientation to FAIR and open science
- Working Group for open science at KI
- What is FAIR?
- Positive aspects of open data for science
- Negative aspects and obstacles of open data
- Open data in practice
15:30-16:55 Perspectives from KI Researchers and core facilities on FAIR and open science
- Anna Lindstrand, Professor and Consultant in Clinical Genetics in Stockholm, Sweden, Department of Molecular Medicine and Surgery and Clinical Genetics at the Karolinska University Hospital
- Martin Eklund, Professor of epidemiology at the Department of Medical Epidemiology and Biostatistics
- Gustav Nilsonne, Docent at the Department of Clinical Neuroscience, and National coordinator for domain specialists within the consortium of the Swedish National Data Service
- Opher Gileadi, Leader for the protein Science team of The Structural Genomics Consortium (SGC) Karolinska, Center for Molecular Medicine (CMM).
- Patrik Magnusson, Head of the Swedish Twin Registry, Department of Medical Epidemiology and Biostatistics