Whitepaper | Swiss Data Custodian

Ensuring compliance with privacy regulations can be a challenging task, requiring continuous monitoring and the ongoing collection of consent for data usage. The Swiss Data Custodian is an open-source framework that provides the necessary tools to govern data access and processing and enables secure and compliant data usage through contractual agreements.
By
Oksana Riba Grognuz
April 3, 2023
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Data plays a critical role in today's economy. The EU is currently developing data spaces to create a data market where data can be exchanged, sold, and utilized for various objectives, including training algorithms in medicine and other industries. In this data-driven economy, safeguarding personal data is a crucial issue that must be tackled by all stakeholders.

It is imperative for organizations participating in the data market to ensure compliance with privacy regulations. However, this can be a challenging task, requiring the ongoing collection of consent for data usage and continuous monitoring to ensure compliance. This highlights the need for a specialist solution to handle privacy protection effectively.

The Swiss Data Custodian is an open-source framework developed by the Swiss Data Science Center, that provides the necessary tools to govern data access and processing and enables secure and compliant data usage through contractual agreements. With its ability to easily integrate into existing systems, the Custodian takes care of privacy protection, freeing businesses from the burden of monitoring data usage and compliance and allowing them to focus on building their business case.

About the author

Whitepaper | Swiss Data Custodian
Oksana Riba Grognuz
Head of ORD Engagement & Services Team

Oksana is a disruptive innovator bringing her positive energy to projects. Driven by her curiosity and can-do attitude she excels in industrial and academic contexts. Oksana earned her PhD in Life Sciences and Bioinformatics from the University of Lausanne after two MSc in Bioinformatics and in Information Systems from the University of Geneva. For more than 10 years, she has been committed to actively promoting the value of data science and advocating the best practices for reproducible and ethical research. She believes that Swiss Data Science Center is a key player in building a competitive data economy in Switzerland leveraging its innovative potential and renown commitment to quality.

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