Discover the SwissBioData ecosystem, a proposal by the SIB Swiss Institute of Bioinformatics and 13 Swiss institutions, which aims at enabling next-generation data-driven research to boost Switzerland’s capacity to convert biological and biomedical research data into knowledge and innovation. This proposal will build on one of four life science research infrastructure proposed as part of the Biology Roadmap coordinated by the Swiss Academy of Sciences (SCNAT), on a mandate by the State Secretariat for Education, Research and Innovation (SERI).
The proposal: the SwissBioData ecosystem to unite and leverage the existing infrastructures
The SwissBioData ecosystem ambitions to provide access to state-of-the-art data management and analysis infrastructure for all Swiss researchers in biology, thereby significantly enhancing our capacity to convert research data into knowledge and innovation. How? By connecting bioinformatics and wet lab core facilities on the national scale, to make data, workflows and tools interoperable, and to create a national data cloud for artificial intelligence, allowing benchmarking and FAIRification of deep learning methods, with SIB acting as central hub. The proposal, co-led by SIB and the University of Bern, results from a bottom-up discussion with academic partners and life scientists.
How would it work?
With a focus on omics data, the SwissBioData research infrastructure would build on and connect the expertise of local nodes at Swiss research institutions (e.g. omics platforms and bioinformatics core facilities). These efforts would be coordinated and complemented by the expertise of the central hub. The latter would identify, develop, and disseminate state-of-the-art tools and workflows for biology, and enable shared efforts. Such national infrastructure would enable:
- An increased sustainability and efficiency, by avoiding the multiplication of efforts, fostering interoperability, speeding up the nationwide adoption of new technologies and FAIR principles, etc.
- An increased scientific quality & reproducibility, by enhancing data analysis capacity, paving the way for artificial intelligence, benchmarking and standardizing workflows and tools, fostering efficient data sharing, etc.
- Promote a strong network for core facilities to enable new interdisciplinary projects and nationwide incentives.
The full project will be submitted in December to the Swiss National Science Fund (SNSF).
Brunner D, Durinx C, Erb M, Fischer M, Hari Y, Jazwinska A, Leeb T, Reymond C, Scheidegger C, Stieger P, Studer B, Vergères G, Walter A (2021). Biology Roadmap for Research Infrastructures 2025–2028 by the Swiss Biology Community Swiss Academies Reports 16 (2).