Secure handling of confidential and strictly confidential research data

Content

• Research on strictly confidential and confidential data
• Data privacy and data protection: legislation and cybersecurity awareness
• Data classification: strictly confidential, confidential, internal and public classification levels
• Leonhard Med, ETH Zurich, a Swiss secure, powerful and versatile scientific data IT Platform for research on strictly confidential and confidential data
• “Best practices” for secure handling of strictly confidential and confidential data for research along the entire data life cycle, from data collection, data management and analysis to publication in repositories and long-term preservation

Aim

At the end of the workshop, you are able to

• understand data protection and privacy issues when you are dealing with strictly confidential and confidential data in research projects.
• have the necessary knowledge to conduct research respecting both legislation as well as information security requirements.
• identify if your research data classifies as strictly confidential or confidential.
• apply “best practices” for secure handling of strictly confidential and confidential data for research.
• be aware of how to use secure scientific Data and IT infrastructures for Strictly Confidential and Confidential Data for research at ETH.
• write a data management plan for strictly confidential and confidential data for research.

Accessibility

Access to and participation in our courses will be barrier-free. Please contact us in advance at +41 44 632 21 35 or at so that we can optimally meet your needs.