Amnesia, OpenAIRE’s open-source data anonymisation tool, has released its latest version (v1.3.4), bringing new features that strengthen GDPR compliance and support researchers in sharing data safely and responsibly. As part of the OpenAIRE service portfolio, Amnesia enables users to anonymise structured datasets while preserving their analytical value, a key step in fostering trustworthy and reusable research data.

What’s new in v1.3.4

Building on previous releases, Amnesia continues to support k-anonymity and km-anonymity for relational and object-relational datasets, while tailoring the anonymisation process to user requirements through an intuitive graphical interface. The new version introduces refinements to masking capabilities and improved handling of DICOM medical data formats.

Users can now apply more expressive masking rules, including partial prefix and suffix masking, offering greater flexibility when preparing datasets for sharing or publication. User can choose whether masking patterns will start from the beginning or the end of a value, allowing more efficient data protection. Options for DICOM anonymization and pseudonymization are not more evident in the interface and the process is smoother.

A fresh website experience

Alongside the software release, the Amnesia website has been redesigned to provide clearer navigation and an improved user experience. The new site offers:

• A more intuitive structure to help users find documentation, demos, and downloads quickly
• Enhanced cookie and user preference controls
• An integrated accessibility tool and accessibility statement

All guides and training materials are easier to locate, and the Amnesia demo instance now runs the latest version (v1.3.4), so users can explore new features directly in their browser.