ASSURED: Assuring Safe Research by Safe People

The ASSURED project aims to address the need for standardised training for researchers and professionals working with sensitive data in Trusted Research Environments (TREs) in Germany. As data sharing for research continues to grow, safeguarding sensitive data is critical, particularly as Open Science and FAIR data principles promote wider access. However, ensuring secure data access while minimising risks requires robust safeguards, such as the Five Safes Model. An essential element of this model is the ‘Safe People’ component, emphasising the importance of well-trained individuals who understand data confidentiality and disclosure risks. Currently, training for researchers and TRE staff in Germany is inconsistent, with few formal systems in place. To remedy this, the ASSURED project has developed an e-learning programme offering flexible, modular training to ensure that researchers and TRE staff meet essential data security standards. The programme includes core modules applicable to all users, with additional role-specific content tailored to various TRE services. By integrating the training with an Authentication and Authorisation Infrastructure (AAI), the programme ensures streamlined tracking of completion and facilitates cross-service access. The ASSURED project aims to enhance data protection and support the European Open Science Cloud initiative, promoting responsible data use across borders.

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Publication Details

Journal
International Journal of Digital Curation
Published
2025-09-24
DOI
https://doi.org/10.2218/ijdc.v17i1.1086
Primary Topic
Biomedical Ethics and Regulation
Type
article
Field-Weighted Citation Impact
0.00

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article

ASSURED: Assuring Safe Research by Safe People

Deborah Wiltshire, Simon Parker, Vanessa González Ribao
International Journal of Digital Curation
Biomedical Ethics and Regulation
article

ASSURED: Assuring Safe Research by Safe People

Deborah Wiltshire, Simon Parker, Vanessa González Ribao
article en

Abstract

The ASSURED project aims to address the need for standardised training for researchers and professionals working with sensitive data in Trusted Research Environments (TREs) in Germany. As data sharing for research continues to grow, safeguarding sensitive data is critical, particularly as Open Science and FAIR data principles promote wider access. However, ensuring secure data access while minimising risks requires robust safeguards, such as the Five Safes Model. An essential element of this model is the ‘Safe People’ component, emphasising the importance of well-trained individuals who understand data confidentiality and disclosure risks. Currently, training for researchers and TRE staff in Germany is inconsistent, with few formal systems in place. To remedy this, the ASSURED project has developed an e-learning programme offering flexible, modular training to ensure that researchers and TRE staff meet essential data security standards. The programme includes core modules applicable to all users, with additional role-specific content tailored to various TRE services. By integrating the training with an Authentication and Authorisation Infrastructure (AAI), the programme ensures streamlined tracking of completion and facilitates cross-service access. The ASSURED project aims to enhance data protection and support the European Open Science Cloud initiative, promoting responsible data use across borders.

International Journal of Digital CurationVol. 19(1)
German Cancer Research Center (DE), GESIS - Leibniz Institute for the Social Sciences (DE), DKFZ-ZMBH Alliance (DE)
University of the West of England, Deutsche Bundesbank
Openalex Percentile: Top 67%
Biomedical Ethics and Regulation
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