Secure Handling of Confidential Research Data (Research Data Management 3/8)
| BIB_WS_RDM_7/6_22_3 | |
| 12.10.2022 | |
| 3.5 h Workshop | |
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| End of registration period: 09.10.2022 | |
| Online course | |
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| 23 | |
| 31 | |
| free of costs | |
| • Research on confidential data (sensitive personal data) • Data privacy and protection: legislation and cybersecurity awareness • Data classification: confidential data vs. public data • Leonhard Med, ETH Zurich: Swiss secure, powerful and versatile scientific IT Platform for research on and with confidential data • “Best practices” for secure handling of confidential research data along the entire data life-cycle, from data collection, data management and analysis to publication in repositories and long-term preservation | |
| At the end of the course, you are • aware of principle concepts of data protection and privacy issues when dealing with confidential data in research projects, • able to conduct research projects respecting both legislation as well as information security requirements, • able to identify if your research data classifies as confidential, • able to apply “best practices” for secure handling of confidential research data, • aware of how to use secure scientific IT infrastructures for confidential research data at ETH. | |
| Englisch | |
| • Doctoral students • Scientific staff | |
Zoom link will be sent in advance | |
| This workshop series comprises eight individual workshops, which mainly refer to the support, services and infrastructure that exist at ETH Zurich. Participation in all workshops is recommended, but not mandatory. 1. Research data management: Basics and how to apply them 2. Data management planning: How to comply with funders' and ETH Zurich requirements 3. Secure handling of confidential research data 4. Open access and data publishing 5. Active research data management 6. Reproducible scientific computing and data analysis 7. Working with images in research 8. Citizen Science: harnessing the power of citizen-generated data |