Versatile Trusted Research Environments: An approach for Switzerland

Widespread adoption of versatile Trusted Research Environments (TREs) is essential for conducting research analysis involving sensitive personal data, which plays a pivotal role in advancing research across healthcare, social sciences, and humanities in order to meet societal challenges. Despite the immense potential of sensitive data analysis, there are substantial risks linked to its use as well as increasing regulatory requirements and scrutiny. Unauthorised access, disclosure, or misuse of this data can have severe consequences for individuals, potentially leading to harm, discrimination, or erosion of trust in the research ecosystem. It may also lead to significant legal consequences for individuals and organisations. These concerns are further amplified by the increasing adoption of distributed computing and cloud technologies, which, while offering benefits, introduce new security challenges. Based on experience supporting research with sensitive personal data in Switzerland, versatile TREs are the best available solution for addressing the inherent tension between facilitating research with sensitive data and mitigating the risks associated with its use. The BioMedIT TRE has been in production since 2018, bringing together ETH Zurich, the Swiss Institute of Bioinformatics, the University of Basel and the University of Lausanne to deliver a federated, versatile TRE service. Versatile TREs cater to the diverse and evolving needs of the research community at a reasonable cost, offering flexible and adaptable environments that can accommodate a wide range of research projects. This adaptability is essential in academic research, where the specific data processing requirements may not be fully known in advance. Relying on less secure alternatives, such as researchers processing sensitive data on personal computers or on less integrated systems poses unacceptable risks to both individuals and institutions. Based on experience delivering TREs for research, we recommend the following: ● Promote TRE Adoption: Organisations should actively encourage the use of TREs for research involving sensitive personal data, potentially through policy mandates. ● Embrace Collaboration: Building and operating TREs requires close collaboration between data providers, researchers, technology experts, legal professionals, and ethical review boards. ● Prioritise Federation: National efforts should focus on federating TREs to avoid duplication, leverage shared resources, and promote harmonised practices. ● Ensure Full-Stack Management: TRE security and compliance require a comprehensive management approach that spans from underlying infrastructure to user engagement and usability. Experience delivering TREs in Switzerland suggests that beyond technical considerations, building and ensuring trust with the full set of stakeholders, from the public and data subjects through to hospitals, research organisations and funders is perhaps the most important factor in delivering a TRE network.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-30
DOI
https://doi.org/10.5281/zenodo.14012893
Primary Topic
Research Data Management Practices
Type
article
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article

Versatile Trusted Research Environments: An approach for Switzerland

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Versatile Trusted Research Environments: An approach for Switzerland

article en

Abstract

Widespread adoption of versatile Trusted Research Environments (TREs) is essential for conducting research analysis involving sensitive personal data, which plays a pivotal role in advancing research across healthcare, social sciences, and humanities in order to meet societal challenges. Despite the immense potential of sensitive data analysis, there are substantial risks linked to its use as well as increasing regulatory requirements and scrutiny. Unauthorised access, disclosure, or misuse of this data can have severe consequences for individuals, potentially leading to harm, discrimination, or erosion of trust in the research ecosystem. It may also lead to significant legal consequences for individuals and organisations. These concerns are further amplified by the increasing adoption of distributed computing and cloud technologies, which, while offering benefits, introduce new security challenges. Based on experience supporting research with sensitive personal data in Switzerland, versatile TREs are the best available solution for addressing the inherent tension between facilitating research with sensitive data and mitigating the risks associated with its use. The BioMedIT TRE has been in production since 2018, bringing together ETH Zurich, the Swiss Institute of Bioinformatics, the University of Basel and the University of Lausanne to deliver a federated, versatile TRE service. Versatile TREs cater to the diverse and evolving needs of the research community at a reasonable cost, offering flexible and adaptable environments that can accommodate a wide range of research projects. This adaptability is essential in academic research, where the specific data processing requirements may not be fully known in advance. Relying on less secure alternatives, such as researchers processing sensitive data on personal computers or on less integrated systems poses unacceptable risks to both individuals and institutions. Based on experience delivering TREs for research, we recommend the following: ● Promote TRE Adoption: Organisations should actively encourage the use of TREs for research involving sensitive personal data, potentially through policy mandates. ● Embrace Collaboration: Building and operating TREs requires close collaboration between data providers, researchers, technology experts, legal professionals, and ethical review boards. ● Prioritise Federation: National efforts should focus on federating TREs to avoid duplication, leverage shared resources, and promote harmonised practices. ● Ensure Full-Stack Management: TRE security and compliance require a comprehensive management approach that spans from underlying infrastructure to user engagement and usability. Experience delivering TREs in Switzerland suggests that beyond technical considerations, building and ensuring trust with the full set of stakeholders, from the public and data subjects through to hospitals, research organisations and funders is perhaps the most important factor in delivering a TRE network.

Zenodo (CERN European Organization for Nuclear Research)
SIB Swiss Institute of Bioinformatics (CH), University of Basel (CH), ETH Zurich (CH), Swiss Academy of Medical Sciences (CH), Research Network (United States) (US), University of Lausanne (CH)
Openalex Percentile: Top 37%
Research Data Management Practices
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