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Data protection and privacy preservation in software development
When writing software to process health, genetic or other sensitive data in High Performance Computing (HPC) clusters, software developers and researchers must consider the requirements of the General Data Protection Regulation, including the principle of privacy by design and the duties of data protection.
In this webinar we will highlight the risks of working with sensitive data on an HPC cluster and what are common software vulnerabilities. We will discuss general best practices in software development and provide guidelines on how to handle data in applications. We will also raise awareness of outside factors that affect data security and briefly mention important generic organisational measures that should be in place.
About the speaker
Sarah Peter studied Bioinformatics and worked at the Max Planck Institute and works at theLuxembourg Centre for Systems Biomedicine, UNILU, as an Infrastructure Engineer in the R3 and IT Infrastructure team.
Who is this course for?
This webinar is part ofPerMedCoEwebinar series and is open for anyone interested inPerMedCoE products and developments, as well as for researchers in the life sciences, bioinformaticians and life sciences software developers.
The goal of PerMedCoE is to provide an efficient and sustainable entry point to the HPC/Exascale-upgraded methodology to translate omics analyses into actionable models of cellular functions of medical relevance.
Outcomes
By the end of this webinar, you will be able to:
- Cite the risks when developing and using software on sensitive data
- Cite common software vulnerabilities
- Describe general best practices in software development
- Identify outside factors affecting data security and how to handle data in applications
Resource details
| Contributed by: | Pathology Portal |
| Authored by: |
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| Licence: | More information on licences |
| First contributed: | 09 May 2024 |
| Audience access level: | Full user |
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