AMNESIA is a service that allows users to anonymize their data by using data anonymization algorithms.
Amnesia modifies personal and sensitive information, eliminates any data privacy breach and exposure of sensitive information. Installed, configured and embedded locally in research operational workflows, it processes and stores files adapting to different needs and dataflows. It uses a variety of algorithms, pseudonymization, k-anonymity and km-anonymity guarantees and demographic statistics to reduce information loss. Amnesia is written in Java and is available to be downloaded for Linux/Windows OS.
Runs k^m-anonymity for high dimensional data
Supports FAIR and GDPR compliance
integrated into systems and apps via REST API
Adjustable settings with support for Zenodo, OpenAIRE, Dataverse,etc.
Persistent generation of hierarchies and semi-automatic hierarchy generation
Anonymization tailored to user needs through a graphical interface
The OpenAIRE Graph is a collection of interlinked research objects that aggregates metadata records from more than 70K scholarly communication sources from all over the world for researchers, service providers, research managers and policy makers, by following a participatory approach.
Develop and publish your Data Management Plan on the cloud. Use customised dataset templates for different disciplines domains and funders. Connect to infrastructure services via OpenAIRE (ORCID, Funding agencies databases, repositories). Collaborate with your team and share publicly on Zenodo. Also available for institutional use, with local installations customised to your organisation specifications and needs (policy, repository, etc.).
Zenodo is a catch-all repository that allows all researchers to archive and share their research objects with the world-wide research community.