250625Digital ecosystem on the DPI

Transcript

1. IT Promotion Agency Japan Digital ecosystem on the DPI（Digital Public Infrastructure） 2025-07-31 Kenji Hiramoto Digital Infrastructure Center
2. Japan  IPA is a government-funded organization that promotes digital technology. 2 IT Promotion Agency Ministry of Economy, Trade and Industry (METI) Digital Agency IPA Strategy Policy Think tank for technology policy Implementation organization Digital Architecture Digital Infrastructure Artificial Intelligence Data spaces/engineering Software Digital transformation Innovation Human resource Security
3. Japan After working for an IT company, I have been working for the government for about 20 years. 3 Kenji Hiramoto Ministry of Economy, Trade and Industry (METI) Digital Agency IPA 2025-04-01 Strategy Policy Think tank for ぢぎたtechnology policy Implementation organization NTT DATA (IT company) Cabinet Secretariat Gov. CIO Office Chief Architect Head of Data strategy, Executive officer (Worked as Chief Data Officer) Executive Advisor for CIO Director General of Digital Infrastructure Center Secretary General of AI Safety Institute
4. Japan  A digital ecosystem is a distributed, adaptive socio- technical network of organisations, people, data and technology platforms that interconnect through interoperable standards and co-evolve to create and capture shared value.  It behaves much like a natural ecosystem: multiple, diverse actors interact, compete, and collaborate while continuously reshaping the environment.  DPI provide the foundaition for Digital ecosysytem. 4 What is the Digital Ecosystem?
5. Japan  SDGs is the sustainable development goals. It realize the future society and ecosystem. GDG is a support initiative for the SDGs by digital.  We will support the initiative. • It is the fast track for us. And we will contribute them by Japanese challenges and technologies. 5 The digital ecosystem realizes SDGs.
6. Future of Society 6 Society is composed of engineering • Buildings • Machines • Systems Society is composed of rules • Laws • Rules • Guidelines Society is driven by data • Activities • Sensors • Geospatial Society is accelerated by AI Update Realtime Digital Twin LegalTech
7. Japan 7 A society that keeps updating Technology updates Rule updates Business and life updates HR updates • New technologies and frequent updates • Changing rules in accordance with technological changes and social changes brought about by technology • Changes in business and lifestyle due to technological and legislative updates • Changes in work styles and required skills due to technological and business changes
8. Japan  Rule, software and data. 8 Not update, But spiraling society Data Analytics Modify Simulation Pre- verification Operation Software Model-based approach Implement Monitor Modify Rule making Model & Simulation Society
9. Japan  Model & Simulation is key for the future society. 9 Digital engineering realize Digital twin CAD Drawing data Digital mockup BIM/CIM Geospatial data Manufacturing Process Production data Trading process Transaction data Legal Software Base registries Open data Modeling Modeling Modeling Modeling Modeling Data space Data supply Modeling Social activities/ Environment Realtime data Society5.0 (Digital Twin) Sensor Object City ASOT Authoritative Source of Truth Data supply Asset Knowledge
10. Japan Model and Simulation are essential . If we can’t see it, we can’t change it. 10
11. Japan  We need positive mindset. 11 In the digital era, mindset is important Before digital I don’t change Gap Stay Jump up Moving target Blue ocean Grey zone
12.  The infrastructure of the 20th century consisted of roads, bridges, and buildings.  The infrastructure of the 21st century consists of networks, data, and the environment 12 Social infrastructure as a source of competitiveness 010100100100100101010100010101010101010110101010100000 101001011101011010001010010100101010101010010100100100 100101010100010101010101010110101010100000101001011101 011010001010010100101010101010000001010010111010110100 010100101001010101010100101001001001001010101000101010 101010101010110101010100000101001011101011010001010010 10010101110101010101101010101000001010
13. Japan We need Digital Public Infrastructure. 13
14. Japan Develop the foundation for a digital society on a global level by 2030. 14 IPA Digital Infrastructure Center Digital Infrastructure Center Digital Infrastructure Digital Transformation Software Engineering Innovation Anyone can anytime use infrastructure and resources Anyone can transform their business to the cutting edge one Anyone can realize their ideas Rule Tool Methodology Data Use Cases Courseware Security Human Resource Dev. AI Data Spaces
15.  GDC is important strategy for achieving the SDGs by 2030. 15 UN Global Digital Compact（GDC） Digital Public Infrastructure（DPI） Industry Administration Personal Infrastructure for Trust Digital Public Goods（DPG） （Open source、Open data、open AI、Open standard） DS DS Data Space (DS) DS DS PF service Digital skill Competency Data governance Interoperability（Technology、Rule、Standard） Security, Intellectual property and privacy Digital transformation / Innovation Future society Trustworthy data International International International Company Municipality Citizen Human right International cooporation Connectivity（Internet） AI ②Digital economy ④Data Governance ⑤AI governance ①Digital Divide, Accelerate SDGs ③Digital Space
16. Japan We have no shiny projects. But we are making future society. 16 The flowers are supported by the branches. The branches are supported by trunk. The trunk is supported by roots. You can’t see the roots. Water pipes in the ground, Sewage pipes under a high-rise building, important things can’t always be seen 相田みつを http://www.mitsuo.co.jp/museum/
17. Strategy and Framework 17
18.  We are focusing on AI and data as key elements of the digital society. Digital Strategy & Data Strategy 18 Innovation by AI Infrastructure for AI Collaboration for competitiveness Digital transformation Safety for Digital Society Digital Strategy(2025-06) Principles Priority Actions Basic direction for Data utilization(2025-6) Views Challenges Data AI Transparency and Trust Standards Incentive Data Space PSI Rule, Data and Infrastructure Human resource and Organization Use case
19.  Japan has been promoting DFFT, but in addition to trust, interoperability, and sovereignty must also be ensured. 19 3 viewpoints Interoperability Sovereignty Trust DFFT: Data Free Flow with Trust
20. Japan  GIF is a part of our National Data Strategy.  We define the GIF architecture.  It especially focus on the Rule, Platform and Data layer. GIF provide rules, tools, data models and technical guidelines. 20 GIF(Government Interoperability Framework) Trust （DFFT） Data Building blocks for data services Rule Security / Privacy / ID Organization and Human resource Business and Service Building blocks for connection Strategy Asset Data model Platform
21. 21 Japan Digital Ecosystem Partnership Data Ecosystem Digital Agency (DA) Ministry of Economy, Trade and Industry (METI) Ministry of Internal Affairs(MIC) IT Promotion Agency (IPA) Japan Business Federation (Keidanren) Data Society Association (DSA) Robot Revolution & Industrial IoT Initiative (RRI) Japan Digital Policy Forum(JDPF) Japan Digital Trust Forum (JDTF)  We launched one Team for digital ecosystem. • Dataspace for Industries • Trust platform
22. Our challenges 22
23. 23 Our activities push to realize the GDC Digital Public Infrastructure（DPI） Industry Administration Personal Infrastructure for Trust Digital Public Goods（DPG） （Open source、Open data、open AI、Open standard） DS DS Data Space (DS) DS DS PF service Digital skill Competency Data governance Interoperability（Technology、Rule、Standard） Security, Intellectual property and privacy Digital transformation / Innovation Future society Trustworthy data International International International Company Municipality Citizen Human right International cooporation Connectivity（Internet） AI ②Digital economy ④Data Governance ⑤AI governance ①Digital Divide, Accelerate SDGs ③Digital Space AI safety LegalTech Digital Transformation Index Data Management, Governance and Maturity Data Spaces Open Data Smart Cities Open Source Data Quality Data platform Cloud-Edge DS Academy Interoperability Framework Trust framework Base Registries
24. Japan  Raise awareness of the data-driven society to the executives • Guidebooks and seminars. Data-driven Management Handbook for Executives CDO（Chief Data Officer） Handbook Data management Handbook Data governance Handbook Data maturity Pl Handbook Interoperability Handbook （Planned）  We will develop training materials with the University of Tokyo and work with business associations. 24 Raising Executive Awareness https://www.ipa.go.jp/digital/data/data-spaces-academy.html
25.  The government has created a digital governance code as a principle for digital transformation, and indicators based on this code have been established. Best practices are being collected and knowledge and experience are being shared. In addition, diagnostics using indicators are being used to accelerate transformation across Japanese companies. 25 Digital Transformation(DX) Digital Governance Code 3.0 DX certification DX index Awards Digital practices Database DX survey Local labs(110) ※ Self-check Some programs have incentive mechanism.
26.  Thinking Template Pattern language for digital transformation Strategy to realize the vision •B1 価値創造のためのシナリオ •B2 枠を外して考える •B3 実現のためのあらゆる可能性 Bringing out appeal from the customer's perspective •B4 顧客も知らない顧客 •B5 共感は発信から •B6 データに価値を語らせる Continue to refine in order to maximize synergy. •B7 未知を力に •B8 常にアップデート •B9 多文化の架け橋 Try again and again, and let them take charge •B10 チャレンジ特区 •B11 適時適任 •B12 高速仮説検証サイクル Drawing the big picture to survive uncertain times •A1 未来妄想力 •A2 社会課題は未来の芽 •A3 未来への羅針盤 Creating a psychologically safe environment •C1 自律自走する組織 •C2 ようこそ失敗 •C3 多様性が育む Towards commonality, sharing, and co-creation •C4 共通言語で協働促進 •C5 “サクサク”と“いきいき” •C6 知のシェアリングエコノミー From personal issues to social issues •C7 自分に問いを立てる •C8 いつまでも学びたい力 •C9 人の輪、知恵の輪、ビジネスの輪 A.Vision B.Strategy C.Mind culture https://www.ipa.go.jp/jinzai/skill-transformation/henkaku/torapata.html 26
27. Sample of the handbook 27 The ability to imagine the future Think outside the box The key is failure.
28. Japan Data related legislations  Legislations • Public-Private Data Act • Digital First Act • Digital Society Basic Realize Act • Personal Information Protection Act • Intellectual Property Act • Cyber Security Act • AI Act  From eParticipation to LegalTech • We have been working on eParticipation to hear the opinions of the public, but now we are taking the next step by working on LegalTech. In response to rapid changes in society and technology, there is a need for methods that enable rules to be created in an agile manner with transparency through visualization and simulation, and then implemented into services with short lead times. Discovering and Reflecting the People's Ideas Quickly change and implement the law. Laws and policies are properly understood and communicated. eParticipation LegalTech(Rule as Code) LegalTech(AI translation, visualize, Data dictionary) • Productivity Enhancement Act • Next generation Healthcare Infrastructure Act • Local government Information System Standardize Act
29. Japan  We can use digital technologies in the following area. • Measurement and analysis • Confirmation of construction, aging deterioration, safety measures, etc. through visual inspection, etc. • Surveillance to detect signs of intrusion and unusual circumstances • Understanding of widespread usage and damage, etc. • Confirmation of workplace management and operational status (on-site investigation) • Visits and inspections  The government gather the technology information and provide technology map. 29 Regulatory review
30. Japan  Reference models • Terms & Condition • Privacy notice 30 Rule(Legal interoperability) Rule A Rule B Rule C Country A Country B Country C I can’t decide on the export partners How to manage them?
31. Japan  There are many services and tools. • Already in practical use and spreading  We need inter-platform interoperability in the next stage. • University of Tokyo launched IDSA hub for it. 31 Platform for data sharing EC DG CONNECT Digital building blocks fiware IDSA Gaia-X DSA DATA-EX EC DG INFOMATICS Interoperable Europe EC DG Publications Data.eu DSA IPA Digital Agency Ministry of Economy, Trade and Industry EC Organization in EC Japan
32. Japan  Government and industry collaborated to map current data space-related initiatives.  Data mapping will also be developed 32 Building Blocks mapping project Business Common business function Data space function Data Trust function Rule
33.  Japan has many sensor devices and operates sensor networks. With the expected increase in sensor data in the future, we are discussing the platform for utilizing this data. 33 Cloud-Edge-IoT Sensors in factory Sensors in product Sensors in city Cloud-Edge service EdgeAI Cloud Data platform (Building-Blocks) Trust platform Interoperability Data sovereignty Digital Transformation / Innovation https://www.wevolver.com/article/2023-edge-ai-technology-report
34.  Open-Source Software • Software is now used in all kinds of products and services, and much of it is open-source software. To promote the spread of open source, we are working to energize the community and disseminate information related to OSS.  Open Data • It is important to publish reliable data for a data-driven society. In addition to promoting open data in administrative agencies, we are developing basic registries containing social data such as corporate information and addresses.  Open Standards • The government has created reference data models based on international standards and made them publicly available. This initiative is improving interoperability across society. (Government Interoperability Framework(GIF)) 34 Digital Public Goods Open data Base registries GIF reference data models Open-Source Software • International standards • National Standards • DE fact standards Government standards Government Municipalities Open-Source Software portal site eGov Data portal site and others Digital public infrastructure
35.  We need secure ID systems. • JPKI for personal identification • gBizID for enterprise identification  Others • eSeal • Verifiable Credential • PETs(Privacy enhancing technologies) 35 Trust framework
36. Japan Catalogue for the diversity of data  National Data catalogue(e-Gov Data portal) • The Digital Agency launched a new open data catalogue in 2023. (https://data.e-gov.go.jp/) • It includes about 26000 datasets.  Local government Data catalogue • BODIK(Big data and Open Data Initiative, Kyusyu) • BODIC provide an open data catalogue services to 300 municipalities • Municipalities can manage open data easily, • Kyoto data marketplace • This is one stop service open data from public sectors and the data market from public sectors.
37. Japan  GIF is essential infrastructure for data- driven society.  All services, including AI and mobility services, will be based on this infrastructure. 37 GIF data models Reduction of design cost and time Ease of integration and scalability Improvement of user experience GIF Lower design and operating costs and time because it utilizes a reference model Utilizes a reference model, making it easier to collaborate with other organizations and leverage existing applications Improve the convenience of services by redirecting the design effort to service enhancement one. (Once-Only services) GIF System System Service DATA DATA System DATA DATA DATA Reference model
38. Japan Data Code Character Data （Japanese/English） Core data parts Core vocabulary Numeric data （Sensing data） Core data models Service data model［DM］ Base registry DM Date & Time Address Postal code Geo coding Phone POI code Point of contact Nursing info. Accessibilit y Person Legal entity Facility Equipment Metadata Admen. G. Land G. Legal entity G. Smart city DM (Local service) Moving object Feature Map Disaster rm, DM Support activity Status report Shelter and evacuation site Education DM Contents Student ＆ Stakeholders School Government DM Use case Evidence and Information Application Service catalogue Report and material Event Service and program Service delivery point Activity Address BR Support program BR Business location BR Legal entity BR List of school List of evacuation site List of shelter List of hospital Event BR Public Facility BR List of code Activity Afflicted people ・・・ Others  GIF Data Models and guidebooks support to make structured and high-quality data. 38 Guidebooks and Data models Acquisition Guidebooks GIF Guidebook Character data guidebook Master data design guidebook Code design guidebook API guidebook Data management guidebook Data specialist guidebook Architecture guidebook Data quality guidebook Metadata guidebook Land Building Event Combine blocks to build a data model Image data Geospatial data BR: Base registry
39. Japan  GIF is not standards but reference models. Anyone can enhance or make subset them for their implementation. 39 Structure of the data models Before IMI GIF Service data model Title Implementation Subset Enhance Title Title Title Title
40. Japan GIF Data standard for schools Data standard for smart city Data standard for Disaster risk management Tools International activities Data standard for municipalities Address BR Enterprise BR Open data catalogue GIF DCAT GIF Address GIF Enterprise GIF Core data models Date, Address Use core data parts Facility Use core data models Facility, Object Use Regional service models Facility, Object Use Regional service models GIF core data models Check the interoperability  From core data models to domain models. Expansion of GIF
41.  Once the data structure and interrelationships are clear, data conversion and utilization can be done accurately. 41 Data dictionary and data mapping LEI Legal Entity name Address #Emproyee ID Enterprise name Type of Enterprise HQ Address #Emproyee(full time) #Emproyee(part time) 法人番号 企業名 本店所在地 主たる事業所 常勤雇用者数 Country C Country B Country A Standard 法人番号 ID LEI id 企業名 Enterprise name Legal Entity name Legal Entity name 本店所在地 HQ address Address HQ address 主たる事業所 Business facility 常勤雇用者数 #Emproyee (full time) (#Employee) #Emproyee (full time) #Emproyee (part time) #Emproyee (part time) Cannot be exchanged because the data name and definition are different. Country A Country B Country C(Japan)
42.  Identifiers and taxonomies are important for efficient data management. • ID • My number(Personal ID number) • Corporate Number • Real property ID • Address block ID • Code • Point of Interest code • Codes in the statistics • Controlled vocabularies • GIF date models defines codes. ID, Code and controlled vocabularies 42
43. Japan Data in the public sectors High-value Dataset  Base registries are authorized data set by public sectors. 43 Base registries and High-value dataset Base registries (Person, Enterprise, Land, etc.) Basic data in the public sectors Open data policy Data management policy (in GIF)
44. Japan  Geospatial data is essential information for society. • Address base registry • Digital agency have created a database storing town block names from all over Japan. • Land Information database • Ministry of Justice are trying to launch a database of land rights information based on real estate IDs. • Maps • GSI(Geospatial Information Authority of Japan) provide national maps. • Infrastructure • Ministry of Infrastructure, Land and Transportation provide ILT platform. 44 Geospatial data
45.  Lifecycle management • In today's digital society, it is important to extract value from data, and we have been working on data management and governance initiatives. At the same time, global data management and governance mechanisms are necessary, and we are working to establish guidelines. In addition, organizations are required to have the ability to utilize data effectively, and we are also developing a data maturity guide.  Data quality management • Accurate data is essential for data-driven decision-making and AI utilization. To improve data quality, measures to enhance data quality throughout the data lifecycle must be implemented from the planning and design stages. In addition, in this era of updates, it is necessary to introduce the DataOps approach, which involves reviewing operations based on operational data. 45 Data governance Data/AI Management Data/AI Governance Data/AI Maturity 1. Appropriate data/AI management ensures data/AI quality. 2. Appropriate data/AI governance ensures sustainable data/AI quality. 3. If quality-assured data is supplied, the use of data/AI will grow. Value GIF(Government Interoperability Framework) Data quality management guidebook Framework & Lifecycle management
46.  Practical guidebook based on standards 46 Data Quality challenge Data dictionary Data models Tools ISO8000 Data quality ISO25024 SQueRE: Process ISO25012 SQueRE: Characteristics ISO5259 Data quality in AI ISO19157 Geographic JP GIF: Data quality guidebook And others Gov.uk: data quality guide Vic.au: data quality guide Governance UN Global Digital compact Data.EU; Data quality guide JP DA: Data governance guidebook(JP) DSA: sensor data quality guide How to use the standards? ISO38505 Governance of Data ISO8183 Data lifecycle framework
47. Japan  Development of data quality management methods essential for a data-driven society. 47 Data quality management Governance cycle view Process view (Operation) Gateway view (Characteristics) Ensure the organization has a sustainable structure. Identify actions required at each stage. Define the evaluation index. https://aisi.go.jp/effort/effort_infor mation/250331_2/
48. Process(Data Lifecycle) 48 1 2 3 4 5 6 7 8 1.Data planning 2.Data acquisition 3.Data preparation 4.Data processing 5.AI system 6.Evaluation of output 7.Deliver the result 8.Decommisioning Gate Gate Gate Gate Gate Gate Gate Gate
49. Japan  Reference architecture  Digital Product Passport  Carbon Footprints data  Digital lifeline project and Drone route project  Model term & condition for data sharing • https://www.meti.go.jp/policy/mono_info_service/digital_architecture/moderukiyakukaisetu.pdf 49 Use cases(Ouranos ecosystem)
50.  Smart cities are composed of cross- sectoral and cross-organizational services.  With the use of sensors, they are also becoming real-time digital twins and are leading the way toward a data- driven society.  We recommend the use of digital public infrastructure and digital public goods in the guidelines for smart cities. 50 Smart City Smart City Reference Architecture Digital Public Infrastructure Digital Public Goods Smart City Program from ministries Municipalities
51. Japan AI is one of the key player of data-driven society AI 51
52.  The use of generative AI has increased, and the number of “useful/useful” and “convenient” responses has increased. On the other hand, there is a great deal of concern about the inaccuracy of the answers. 52 Citizens Experience in private use of generative AI 「デジタル社会における消費者意識調査2025」一般財団法人日本情報経済社会推進協会 https://www.jipdec.or.jp/news/pressrelease/20250424.html Concerns about services using generative AI Use frequently Use Don’t use Inaccurate answer Data leakage
53.  More than 45% of companies are using AI in their operations, but there is much concern about “information leakage” and “inaccuracy of answers. 53 Enterprise 「企業IT利活用動向調査2025」一般財団法人日本情報経済社会推進協会、ITR https://www.jipdec.or.jp/news/pressrelease/20250314.html Security/privacy concerns in the use of generative AI Effects of using generative AI in business operations Inaccurate answer Data leakage Effective Not effective Daily business Create report Summarize Meeting Marketing Customer support Software dev. Project mng. Idea creation Education
54. To accelerate innovation, AI safety mechanisms need to be built on a solid foundation. 54
55. Japan  AI safety is an essential requirement for an environment that encourages innovation. 55 Innovation Strategy 2024(AI part) ① AI innovation and the acceleration of innovation through AI • Strengthening R&D capabilities (including data supply) • Acceleration of the use of AI • Enhancing AI infrastructure • Human resource development and recruitment ② Realize the AI Safety • Governance and rules • AI safety • Prevention of mis/dis information • Intellectual property rights ③ International cooperation/collaboration
56.  J-AISI is an organization formed with the cooperation of 13 relevant ministries and 5 related organizations. 56 AI Safety Institute(AISI) AISI Executive director IPA Deputy executive director Council of Ministries and Agencies Consider government policies for AISI to ensure AI safety Members: Relevant ministries, agencies and institutions Secretariat: Cabinet Office (Secretariat of Science, Technology and Innovation Policy) AISI Steering Committee Deliberates on important matters related to AISI's business operations. Chair: Executive Director of AISI Members: Partnership Participating Organizations, relevant government ministries and agencies (Director level) Secretariat Strategy & planning Team: General coordination related to AISI Technology Team: Various surveys, red teaming studies Framework Team: Study of evaluation based on safety standards and guidelines Standards Team: Responding to trends in standards related to AISI Security Team: Research on AI and cybersecurity Secretary general: Director general, Digital Infrastructure Center Thematic Subcommittee Each group formed with relevant members discuss by themes Partnership Project Registering relevant projects and initiatives as the AISI. Government policy for AI safety assurance. Report on business policies, plans, results, etc. Relevant ministries, agencies and institutions Installed as needed Attendance/Participation Cabinet Office *Advisors are appointed as needed. Relevant Ministries and Agencies: • Cabinet Office (Secretariat of Science, Technology and Innovation Policy) • National Security Bureau • Cabinet Cyber Security Center • National Police Agency • Digital Agency • Ministry of Internal Affairs and Communications • Ministry of Foreign Affairs • Ministry of Education, Culture, Sports, Science and Technology • Ministry of Economy, Trade and Industry • Ministry of Defense • Ministry of Land, Infrastructure, Transport and Tourism • Ministry of Agriculture, Forestry and Fisheries • Ministry of Health, Labour and Welfare Related organizations: • IT Promotion Agency, Japan (IPA) • National Institute of Information and Communications Technology • RIKEN • National Institute of Informatics • National Institute of Advanced Industrial Science • and Technology https://aisi.go.jp/ AISI Japan AI Safety Institute
57. 57 Role and Scope of AISI  Role • AISI supports the government by conducting surveys on AI safety, examining evaluation methods, and creating standards. • As a hub for AI safety in Japan, AISI will consolidate the latest information in industry and academia, and promote collaboration among related companies and organizations. • Collaborate with AI safety-related organizations. • AISI is not an R&D organization.  Scope • Set the scope flexibly in the following AI related issues, while considering global trends. • Social Impact • governance • AI System • contents • data
58. Developer Service provider User 58 Activities and Output Guideline for Business Crosswalk between Guideline for Business(Japan) and Risk Management Framework(US) AMAIS: Activity Map on AI Safety Guide to Red Teaming Methodology on AI Safety AI Security Research Report Data Quality Management Guidebook Guide to Evaluation Perspectives on AI Safety Training materials for AI Safety Digital Skill Standard Multi Language and Multi Culture Challenge