Amnesia 1.4.0 is now live, introducing new capabilities for anonymising medical imaging data, expanding support for secure and privacy-preserving data sharing in health research. With this latest update, the OpenAIRE service takes an important step towards enabling the responsible reuse of complex biomedical data, an area of growing relevance for Open Science and European data-sharing initiatives.

About Amnesia: Amnesia is a data anonymisation tool designed to help users protect sensitive information while enabling GDPR-compliant data sharing and reuse. It is widely used in research and data management contexts where privacy preservation is essential. As health data becomes increasingly important for scientific discovery, ensuring that formats such as DICOM can be safely shared is a key challenge.

What’s new in version 1.4.0

The new version introduces a dedicated anonymisation engine specifically designed for DICOM files, a standard widely used in medical imaging that combines images with detailed metadata, including patient and examination information. Handling this type of data securely requires managing complex structures, which the new engine is designed to support.

Users can now more easily navigate and anonymise DICOM metadata, with guidance on selecting which elements to anonymise or pseudonymise. In addition, Amnesia 1.4.0 introduces anonymisation templates for DICOM files, allowing users to save configurations and apply them across datasets. This helps ensure consistency while reducing manual effort, particularly for institutions working with large volumes of similar data.

Enabling responsible sharing of medical imaging data

These improvements bring clear benefits to the community.

• Researchers can more confidently share medical imaging data while complying with privacy regulations
• Institutions can implement more standardised anonymisation workflows
• Funders and policymakers gain stronger support for secure and responsible data sharing practices.

More broadly, this development reinforces the role of anonymisation tools within the European Open Science Cloud (EOSC), supporting the wider adoption of FAIR and privacy-aware data practices.

Getting Started

Users can upgrade to Amnesia 1.4.0 to explore the new functionality. To get started, they can upload DICOM datasets, configure anonymisation or pseudonymisation settings, and create reusable templates tailored to their workflows.

Further developments are expected to continue expanding DICOM support, alongside improvements to template customisation and additional guidance to help users make the most of these features.

Discover the new features of Amnesia 1.4.0 and explore its DICOM anonymisation capabilities here.