Data Strategy and Interoperability Framework

Overview of Government Interoperability Framework (GIF)

Transcript

1. IT Promotion Agency Japan Government Interoperability Framework Digital Infrastructure Center IT Promotion Agency, Japan
2. Japan Background 2
3. Japan Most of Leaders understand the value of data and the data-driven society. Cross-industry and cross-border activities are increasing AI uses huge data and enhance the needs of data. 3 Needs for Data strategy We need organizational vision and activities, framework, and standard. We should provide governance mechanism that include safety and quality.
4. Japan Strategies and the target year 4 EU: European strategy for data US: Federal Data Strategy JP : National Data Strategy Data-driven society (2030)
5. Japan We enhanced the framework from IMI to GIF 5  We have been working on a government interoperability data model named IMI since 2011  We are moving forward with our government interoperability framework project under the new name GIF from 2022, as we move toward 2030, a data-driven society. GIF include the IMI project. Data models Interoperability framework Data models rules Platforms Strategy Business/Society IMI GIF National Data Strategy Data Space Rules GIF data model (include IMI) DATA-EX GIF data model is a kind of IEPD. It is simple and easy to use
6. Japan  The data model for the core part of the project has matured after years of work by each of the organizations. 6 Reference data model project in the world EU Joinup Core Voc &EIF Start point: administration JAPAN GIF Start point: administration US NIEM Start point: Safety Private sector Schema.org Start point: Web search Private sector Smart Data Models Start point: Data sharing India IUDX Korea
7. Japan Data strategy in Japan 7
8. Japan  We aim to realize a digital society by integrating digital and data strategies. 8 Digital and Data Strategy Digital Strategy Data Strategy Digital Strategy Data Strategy 2023 01010100110100101000101 00010100101010010010100 10100101010101001010100 2022 2021
9. Japan Trust & Safety Our vision:Data-driven society 9 Ease of operations by data reuse and matching １．Trust mechanisms for secure data and service use ２．Mechanism for Easy-to-find and easy-to-connect data ３．Diverse, quality-assured, and sufficient supply of data Priority data Statistics Sensing data Various Services Well-being society Base registries Open data ＋Data from private sector Platform Easy access to the data you need Easy to start new services Distributed data management Eliminate duplicate investments Digital Twin Efficient Society Interoperability
10. Japan  To make it a sustainable initiative, it is important to build on the foundation. 10 The steps for realizing the data-driven society Findable •Data catalogue •Service catalogue •Platform Usable • Structured data model • Quality management Processable •Machine readable Automatable • Auto-check • RPA（Robotic Process Automation） Analyzable • AI •Big data analysis We are here. Base registries & High value datasets Open data
11. Japan Priority Actions and showcase 11 •Stakeholders •Transactions •Original copy •Stakeholders •Transactions •Original copy Trust •DATA-EX •Catalogue •DATA-EX •Catalogue Platform •Base registries •Open data •Data engineering •Base registries •Open data •Data engineering Data •Smart cities •Disaster risk Management •Smart cities •Disaster risk Management Showcase Citizens use and store data with confidence Citizens use and store data with confidence Citizens efficiently use data Citizens efficiently use data Citizens can use various data Citizens can use various data Citizens understand the value of data Citizens understand the value of data
12. Japan  The Digital Agency has taken the lead in promoting the data strategy. It will be promoted by one team working in unison with related organizations. 12 Our Team Digital Agency IT Promotion Agency Government Printing Office Data Management Data Space Digital Infrastructure AI Data Strategy Ministries Agencies (Private Sectors) DSA Other organizations METI Ministry of Economy, Trade and Industry
13. Japan  We launched a digital infrastructure center on July 1,2023. 13 IPA Digital Infrastructure center Data Space Digital Infrastructure Data Owners Open Data Standards(GIF) ・Data models ・Quality ・Rules ・Guidelines GIF Academy GIF: Government Interoperability Framework AI Digital transformation Data engineering
14. Japan • Government Interoperability Framework GIF 14
15. 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. 15 Overview of GIF 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
16. Japan  GIF is essential infrastructure for data- driven society.  All services, including AI and mobility services, will be based on this infrastructure. 16 Role of GIF 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
17. 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. 17 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
18. Japan  GIF is not standards but reference models. Anyone can enhance or make subset them for their implementation. 18 How to use the data models Before IMI GIF Service data model Title Implementation Subset Enhance Title Title Title Title
19. Japan  Service data models are created by derivation of a common model. So, data linkage is easy even across fields. 19 Use case of GIF 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 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
20.  Conversion tools support for legacy systems and data. Data conversion tools 20 Legacy systems and data １man ２woman ３unknown IMI converter ０unknown １man ２women ９not applicable ０unknown １man ２women ９not applicable Tokyo Chiyoda Kasumigaseki X-X IMI building 203 Connected service Kasumigaseki X-X IMI Building 203 Tokyo Chiyoda Kasumigaseki X-X IMI building 203 Legacy systems and data IMI converter Connected service
21.  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 21
22.  Data connect to the world, so global interoperability is essential. Data quality and Data governance 22 Data Process Governance • Is the data of sufficient quality? • ISO25012 • Are there any issues with the process? • ISO25024 • Is the data being managed strategically? • ISO8000-61 Usage USER SIDE SUPPLY SIDE Are users making use of the data? Geospatial data Platformer AI IOT • ISO19157 • DSA whitepaper in Japan • Quality Assurance for AI guideline in Japan
23. 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. 23 Geospatial data
24. • Recent decade, we established data culture in the each areas. We should start global activities again. Next step: Challenge for the global interoperability 24
25. Japan  First step, we need to work on ensuring global interoperability of the common core vocabulary. • Person, Organization, Real property, Facility • Service, Event, Evidence/Certification Reference data models • GIF, NIEM open, Joinup core voc., Schema.org, Smart Data Models 25 Global interoperability common core vocabulary is data models for base registries. Base registry is administrative authorized data. Japanese Base registry project include person, organization, real property and Land.
26. Japan  We will start a data dictionary project. As part of the project, we plan to create a mapping to other models. 26 Our data dictionary project GIF Data model Other Data models Other Data models Family name Surname has an exact match Registered address Address has an exact match PatronymicName (Not match) Origin address (Not match) Joinup core voc. NIEM open Schema.org Smart Data Models
27. Japan  gBizInfo 27 Use case1 Information for trade and investment gBizInfo v1 gBizInfo v2(Planning) Legal entities official information • Official registration data • Name • Address • Contract and award info from government • Patent • Certifications IMI-based data structure with data definition GIF-based structure with data dictionary and mapping Name Address Capital Number of employee Country A Country B Country C Anyone can get accurate data
28. Japan  EU had started OOTS(Once Only Technical System) on December, 2023. • The service use data model and ID service. 28 Use case2 Application Country A Country B Country C Application data Evidence (Certification) data Finalized application data Send or register Request or Permission Send or Access Home Service provider Evidence provider
29. Question & Discussion 29
30.  What is the status of NIEM's popularity in government and municipalities?  Are there any incentives to promote its diffusion?  NIEM is now open as an OASYS standard, but is it being used by the private sector?  What are you doing to address global interoperability?  Are there any efforts to unify rules such as terms of use other than the data model?  Are there any areas of focus for the future?  Do you see any impact from the development of AI? 30 Here are our questions