About
Onedata [1] is a high-performance, distributed data management system designed for global infrastructures. It provides seamless access to heterogeneous storage resources and supports diverse use cases, ranging from personal data management to large-scale scientific computations. By leveraging a fully distributed architecture, Onedata facilitates the creation of hybrid cloud environments that integrate private and public cloud resources. The system enables users to collaborate, share, and publish data while supporting high-performance computations on distributed datasets via various interfaces, including POSIX-compliant native mounts, PyFS (Python filesystem) plugins, REST/CDMI APIs, and S3 protocol.
Recent advancements in Onedata include improved data publishing features and added support for mainstream metadata formats (such as DataCite or OpenAIRE), maturing of S3 protocol support that now covers automated deployment of the S3 endpoints across a Oneprovider cluster, and optimizations to handle large numbers of data collections (spaces). Moreover, the ongoing EOSC DataCommons project is improving Onedata's capacity to serve as data and metadata integration middleware that bridges various data repositories and sources with execution engines and VREs, providing interoperability and FAIR compliance.
Within EOSC Node | Poland [2], Onedata serves as the common data layer that brings together datasets from different repositories, providing a unified data platform and workspace for researchers. EOSC-PL leverages Onedata's standardized interfaces to enable seamless data flows between distributed European research infrastructures. A key capability is the support for importing data by reference rather than copying, allowing datasets from heterogeneous sources such as EEA [3] or the Polish eCUDO platform to be served on demand directly from their origin servers, while being logically integrated in Onedata unified namespace. Having organized data from different sources…
The talk
Credits and licence
- Institution
- CERN
- Speaker
- Łukasz Opioła
- Year
- 2026
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed