Speaker
Description
OneHealth DataSpace (OHDS) is an initiative led by CESGA that started with the creation of a data space for the One Health sector but has evolved beyond conventional data-sharing initiatives into an integrated environment covering the full data lifecycle. It combines trusted and sovereign data sharing with direct access to advanced Big Data, HPC, GPU-accelerated AI, and Cloud computing resources, allowing participants to move from data access and management to large-scale analysis and AI workloads within the same ecosystem.
Participants can join through a local connector, keeping data within their own infrastructure, or through a connector-as-a-service deployed and maintained by CESGA, enabling faster onboarding for organizations without dedicated technical resources. Once connected, participants gain access not only to datasets and data-sharing mechanisms, but also to the computing and data-processing infrastructure required to implement their use cases. This integration reduces the technical barriers between accessing data and exploiting it through computationally intensive workflows.
A comprehensive governance model has also been developed that, together with the underlying data space technologies, provides a trusted environment in which participants can exchange data and collaborate while maintaining control over how their data are accessed and used. Computing services are integrated within this framework, enabling data-intensive and HPC/AI workloads to be developed under the same governance and access-control principles.
Since its launch with seven pilot use cases, OHDS has grown into an active ecosystem of more than 30 participating organizations, including private companies, research institutions, public bodies, and associations. The ecosystem now encompasses more than 50 use cases across human, animal, and environmental health. Several of these rely directly on advanced computing capabilities, including synthetic clinical data generation, the application of genomic AI models, air-quality prediction, and molecular dynamics simulations for drug discovery. Training activities and dissemination events have further supported the adoption and growth of the ecosystem.
The OHDS experience demonstrates that bringing together data sovereignty and advanced computing within a common operational framework can substantially lower the barriers to exploiting distributed One Health data. By integrating data spaces with Big Data, HPC, AI, and Cloud infrastructures, OHDS provides a practical path from governed data access to computational analysis and, ultimately, to services and applications with tangible impact on the health of people, animals, and the environment.