Scientific IT Services (SIS) enable modern research through the provision of first-class scientific computing services. From data management plans to individual consulting and data analysis, we dedicate our work directly to researchers, and we can support you both in solving problems as well as in planning future projects.
Scientific Computing Services
Data Science Support
The SIS-provided Data Science Support is aimed at all scientists from ETH Zürich who want to use data science for their research, but do not have the capacity or the required expertise to do so themselves. Our support ranges from consulting regarding suitable approaches and methods to the implementation and provision of entire solutions.
Software can make a significant contribution to research, by automating tasks the efficiency of daily work can be improved whilst reducing the rate of error at the same time. SIS develops and maintains a number of software for research data management and data analysis.
We provide consulting, services and software solutions for scientific facilities, groups and research projects to visualize their data. We work with data ranging from field measurements (mostly small) to data from massively-parallel large-scale computations (several TeraBytes). We specialize in both desktop solutions and cluster/supercomputer based parallel-visualizations.
Consulting and Training
We can assist you to plan, establish and improve data analysis strategies for research projects in early stages as well as during a running project. Together with you, we can discuss your computing problem, clarify open questions, identify and analyse issues, and suggest solution options. Moreover, we provide courses and workshops on various problems of scientific computing that we develop based on the needs of our users. Finally, we hold regular Code and Data Clinic sessions where researchers can simply stop by to get our help or advice.
Research Data Management
We provide consulting, services and software solutions for active data management to scientific facilities, groups and research projects to safely and reproducibly manage their research data. We work closely with the Research Data Management and Digital Curation team of the ETH Library to provide trainings and education in research data management.
Research Data Analysis
We provide a diverse range of data analysis services to research groups. These include writing custom software for data analysis, development and maintenance of data analysis workflows, and performing data analysis tasks on demand.
Personalized Health Data Services
SIS built Leonhard Med (website) as a central high performance computing infrastructure for personalized health data. Leonhard Med is a secure, fast, scalable, and cost-effective large volume infrastructure dedicated to sensitive data.
Centered around Leonhard Med, we support the biomedical and personalized health research community of the ETH Domain with large volume data management, analysis, interoperability, sharing and security solutions for data driven biomedical research.