IPA Releases Open-Source Data Space Technology for the AI Era
Overview
The Information-technology Promotion Agency, Japan (IPA) released key Open Data Spaces (ODS) deliverables to establish interoperability for distributed data management across companies, organizations, and national borders and accelerate the social implementation of real-data infrastructure supporting AI. The deliverables include a reference architecture, technical specifications, reference implementation software, SDKs, and guidebooks for businesses and engineers. IPA is promoting ODS at exhibitions and will continue advancing solutions to challenges in data sharing and distribution through ODS.
Key points
- ODS has been released as an integrated package spanning design principles through implementation guidance.
- ODS aims to provide a common foundation for data collaboration across companies, organizations, and national borders.
- ODS is expected to support AI applications, industrial competitiveness, and responses to social challenges.
- The deliverables were introduced at an international exhibition and can support further outreach activities.
Overview
Open Data Spaces (ODS) is a technology concept for achieving open, scalable, distributed data management while respecting the diversity of countries and organizations.
The IPA Digital Architecture and Design Center (DADC) released a white paper presenting the initial concept for ODS in February 2025.
Beginning in August 2025, it took overall responsibility for architecture design in an NEDO project and stepped up its advice on protocol design and middleware development.
Following a joint promotion agreement in October 2025 with DSA, RRI, and the University of Tokyo's Graduate School of Interdisciplinary Information Studies, it served as the ODS global promotion secretariat.
Key figures
- Deliverables release date
- April 1, 2026
- ODS activity start
- August 2025
- Main deliverables in fiscal 2025
- 8 items
- Hannover Messe 2026 dates
- April 20 to April 24, 2026
- Last updated
- May 1, 2026
Impact
ODS aims to improve interoperability when companies and organizations connect distributed data as infrastructure for using real data in the AI era.
As software becomes increasingly important in fields such as automobiles and robotics, strategic data sharing is regarded as a management challenge that can determine a company's competitive advantage.
Secure mechanisms for data sharing and distribution are relevant to addressing economic and social challenges, including carbon neutrality, a resource-circulating society, and supply chain disruptions.
Details
There were 8 deliverables in fiscal 2025, including Why Open Dataspaces, which explains the design principles; ODS-RAM V2, a reference document; and ODP, which defines technical specifications for interoperability.
Open Data Spaces Middleware is provided as a group of open-source software serving as the reference implementation of ODP.
For developers, SDKs for Onboarding and Semantics, along with related documentation, have been prepared.
The business guidebooks for developers and user businesses organize considerations for deciding whether to enter the market, the roles they can undertake, and approaches to initial investment.
The technical implementation guidebook for engineers presents ODS's overall technical picture and fundamentals and supports starting the design, implementation, and operation needed for adoption, implementation, and service provision.
The deliverables will be presented in talks and exhibits at ODS Explore at Hannover Messe 2026, held in Hannover, Germany, from April 20 to April 24, 2026. The deliverables list was replaced on May 1, 2026, to address accessibility requirements.
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