Open Research Data & Platforms, tools and services to support research
Working towards Reproducible Data Science
Sharing research data can accelerate the pace of discovery, lead to increased public trust in research, and benefit the wider society.
The SDSC is dedicated to fostering open, reproducible data science through the creation of open platforms, libraries, and apps for research, education, and innovation projects. Our team of data scientists works to develop and advance these resources, enabling collaboration and knowledge sharing. By promoting open practices, we aim to drive scientific progress and empower the research community towards a more transparent and inclusive future.
Platforms
Swiss Data Custodian
A human-centric and trustworthy solution for digital privacy compliance
Renku
An open-source knowledge infrastructure for collaborative and reproducible data science.
Imaging Plaza
Enhancing knowledge exchange and collaboration in imaging research - Coming Soon!
Libraries
Gimie
A tool to extract structured metadata from Git repositories
Pyaxis with ICANE
A python library for PC-Axis formatted data manipulation
Apps
Integrated SHACL validation
A wrapper for semantic data validation through integrated SHACL components
Contact us
Let’s talk Data Science
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Contact us for your next Data Science project!