Experience fast, secure, and domain-agnostic data orchestration built to handle even the most complex, sovereign data sources. Build bridges between diverse, distributed datasets, scale effortlessly and ensure compliance, all while maximizing the value of your heterogeneous data landscape.
The smart data orchestration engine manages data across multiple physical locations throughout the data lifecycle, including ingestion, transformation, analysis, and processing.
Enrich, group, and organize data and metadata, including qualified links to internal and external sources, thanks to a flexible and powerful multi-standard metadata management system.
All data is treated as FAIR Digital Object, with a globally unique persistent identifier for each resource and qualified (user-defined) relationships to internal and external sources.
Flexible data handling via the widely accepted S3 compatible interface, including pre-authenticated up- and download URLs makes it easy to integrate with existing tools and workflows.
Existing storage systems can be easily integrated into the system without moving any data. You maintain full control over who has access to your data
By default all data is encrypted at REST. We are using the proven Crypt4GH encryption standard that is also used to secure sensitive medical data.
All components are freely available under a permissive open-source license.
Learn moreData proxy and server components are easily customizable to your needs.
Learn moreThe comprehensive documentation makes getting started in Aruna a breeze!
Learn moreSubscribe and get all the latest Aruna updates and news.
The Aruna data orchestration engine is an open source data management platform that enables scientists and industry partners to store, annotate and share their data according to FAIR principles.
Aruna is developed by a small team at Justus-Liebig-University Giessen for the NFDI4Biodiversity and NFDI4Microbiota projects, as well as the GAIA-X connector project FAIR Data Spaces.
Storing data in localized domain specific data silos can limit collaboration, reuse, and analysis of data. The Aruna platform can bring great benefits for your research data such as improved collaboration, compliance with FAIR principles, scalability, data security, and easy integration with existing workflows.
Currently our service is an invitation only platform for members of the NFDI consortia and other partners. In the future we plan to open our platform for a broader audience.
Storaged manage by us does not have any quotas, but is limited to a small number of existing partners. There are no restrictions when hosting your own data proxy instance. The technical limit per objects is 5 TB as per S3 specification.
You can choose how your data is shared, and we offer a variety of access models, from highly confidential data to public datasets that anyone can view and download. By default, all of your data is private and only accessible to the people you grant access to, but a minimal configurable set of metadata is always public to ensure discoverability.
When using our managed service, we ensure that your data is stored through our custom data proxy component, which encrypts, compresses, and anonymizes all user-provided data by default. This way, your data is always secure while stored on disk.
Data proxies are the decentralized backbone of the data plane, interacting directly with data storage providers and providing a unified S3-compliant interface for data. In addition, they can be configured to perform data encryption, compression, anonymization, and end-user access control, including enforcement of data usage policies.
There are no limits regarding the amount of projects to create.
Supported By