This document discusses Japan's interoperability framework and digital strategies. It provides an overview of key digital policies and national strategies, including Society 5.0. It then discusses specific initiatives like smart cities, digital government, AI strategy, and data exchange platforms. It focuses on using common data definitions and standards to improve interoperability across industries and government. Specific projects highlighted include corporate information sharing and public event information systems. The importance of high quality base registries and reference data models is also emphasized.

1. 2019-10
0
Interoperability Framework in Japan

2. Overview of Digital Strategy in Japan
Other Acts
Privacy act and
Info. disclosure act
Society 5.0 (2016)
Economic Growth Strategy (2019-6)
Innovation Strategy (2019-6)
Digital Strategy (2019-6)
Data Strategy (2019-6)
Digital Government Policy (2017-5)
• Connected Industries
• Digital first
• Once only
• One stop
Vision
National Strategies
Digital Strategies
IT ACT
(2000)
DATA ACT
(2016)
Digital First ACT
(2019)
Society 5.0
Reference
Architecture
Data
Exchange
Platform
Government
Interoperability
Framework
(IMI)
Data
Strategy / Policy
Rule
Organization
Business
Data harness
functions
Data
Data broker
function
Asset
Sensor, Actuator,
Hardware, Network
Gathering, Integration,
Cleansing, Device management
Data definition, Data model,
Code
Catalogue, Search,
AI, Analysis
Business process
Business Rule
Coordination
Team
Legislation
Regulation
Vision
Priority domain
Security/Authentication
Lifecycle
Open Data Policy (2017-5)
1
AI Principal (2019-3)
AI Strategy (2019-6)
AI Strategy

3. AI Strategy(Public Service)
2
Resilience(Infrastructure)
• Robotics & Sensor
network
• Infrastructure data
platform
• Urban planning
Smart cities
• Smart cities
• Including technologies
Digital government
• High value services
• EBPM
• Sustainable services
• Work style
Request for the high-
quality services
Increase the aging
citizens
Decrease the
workers
Finance of the
government
AI is an essential technology for public administrations.
Data infrastructure
• Interoperability framework
• Data quality

4. Smart city initiative
 CAO(Cabinet Office), CSTI(Committee of Science, Technology and
Innovation) and MLIT(Ministry of Land, Infrastructure and Transportation)
strongly promote smart city projects.
 Smart city is a compact model of Society5.0.
 We would like to create a model in a society with an aging population and a
declining population.
3
IoT
AI
Interoperability

5. Society 5.0
Data is essential element for future platform
 We will work with industry and smart cities to coordinate data with digital
government. We will digitize society as a whole through this extension.
4
Smart Industry
Connected Industry
Smart City
Smart City
Smart Public
Digital Government
Good practices from industries
Basic Registries
Advanced services
- AI
- Block chain
International interoperability
Environment
Safety
Human density
Machine and factory
Trade and commerce
Traffic
Air pollution
Noise
Application
Open data
Corporation
Geographic
Name
Address
Date and Time
Facility
Event
Application
Open data

6. DATA INTEROPERABIRITY PROJECT
5

7. Society 5.0 and the data exchange platform
6
https://www8.cao.go.jp/cstp/tyousakai/juyoukadai/14kai/siryo2-1.pdf
Data
consumer
Data
distributer
Data
provider
Agriculture Satellite
Production Sunshine
Automobile Geography
Car
navigation
Dynamic
map
Road Bridge
Surface Strain
Disaster area Meteorology
Damage
Rain
Wind
Health Factory
Vital material
Cross-Domain Data exchange Platform
Service Portal Function（Search, Privacy protection）
Common Function（Catalogue, Taxonomy, Analytics）
Data Exchange function（Data fusion, Cleansing）
Infrastructure data
Traffic data
Health data
Urban data
Agriculture data
Production data
Administration data
Environment data
Productivity Improvement Services Navigation service Emergency response service Productivity Improvement Services Logistics service
Common data
Proprietary data
Common data
Proprietary data
Common data
Proprietary data
Common data
Proprietary data
Common data
Proprietary dataLogistics
company
IT
company
Security
company
Sensor
company
Retail
company
Smart agriculture Autonomous car Smart citySmart factoryEmergency response
Government Interoperability Framework / Base Registries
Service
provider
Open data
API

8. Strategy / Policy
Rule
Organization
Business
Data harness
functions
Data
Data broker
function
Asset
Sensor, Actuator,
Hardware, Network
Gathering, Integration,
Cleansing, Device management
Data definition, Data model,
Code
Catalogue, Search,
AI, Analysis
Business process
Business Rule
Coordination
Team
Legislation
Regulation
Vision
Priority domain
Security/Authentication
Lifecycle
Society 5.0 Interoperability Policy
 Society 5.0 Reference architecture is the basic model for harnessing data.
Society 5.0 Reference architecture is
the basic model for harnessing data.
Gov. Date exchange Std.
Core vocabulary
Templates
Characters
Code
Sensor Data
Data item
(Data definition)
Information
(Data model)
7
Innovation Strategy
AI Strategy
Smart City Project
Services
Functionfor data management
Functionfor connection
Search Distribution Privacy Community
Catalogue Taxonomy Simulation Quality
Assurance
Convert Merge Integrate Anonymize
Cross-domain
data exchange
platform
Dataexchange
platforms
In industries
Services
Function for data management
Function for connection
Search Distribution Privacy Community
Catalogue Taxonomy Simulation Quality
Assurance
Convert Merge Integrate Anonimize
Services for each industries
• Taxonomies
• Codes
• Functions

9. The services for the data exchange platforms
 Government will provide basic services.
8
Services
Function for data management
Function for connection
Search Distribution Privacy Community
Catalogue Taxonomy Simulation Quality
Assurance
Convert Merge Integrate Anonymize
Cross-domain
data exchange
platform
Data exchange
platforms
In industries
Rule
Team
CSTI, CAO IT HQ, CAS METI IPA
DTA DPC
Services
Function for data management
Function for connection
Search Distribution Privacy Community
Catalogue Taxonomy Simulation Quality
Assurance
Convert Merge Integrate Anonimize
Services for each industries
• Taxonomies
• Codes
• Functions
EU
US
・・・

10. Data framework
 The digital government action plan recommend the following data
framework to all ministries.
 Data structures and definitions are important for services to work together.
Service catalogs and code are also important.
9
Gov. Date exchange Std.
Core vocabulary
Templates
Characters
Code
Service
Data
Tourism
Date, Address, Phon …
Sensor Data
Data item
(Data definition)
Information
(Data model)
Healthca
re
Transpor
tation
Disaster
Public
service
Infrastru
cture
Manufac
ture
・・・
Format
Service catalogue

11. Data models and guidebooks
Character-set Guidebook
Data Exchange Standards for Administrations(DESA)
• Day and Time, Address, Phone, Geo-coordination, PoC code
Code list
• Ministry, Hospital, Island, etc.
IMI(Infrastructure for Multi-layer Interoperability)
• Person, Facility, Organization, Event, etc.
Recommended data-set for open data
• Tourism, Cultural asset, Wifi, AED, etc.
10

12. Digital first law
 We published Digital First Law in May,2019.
11
Digital first
Once only
One stop
Base Registries
First registration Reuse
• Person
• Business
• Real estate
• Address
• Geography
Once registered, the information will
be reused from the next time.
That's easy!
We should check the quality of our base registries.

13. Action in 2019
 We confirmed our government
interoperability framework. All
ministry will use it gradually.
 We focus on the use cases and
common function.
 Use cases
• Corporate information
• Public event information
 Common function
• Service catalogue
• Base registries
• Data quality
12
Gov. Date exchange Std.
Core vocabulary
Templates
Characters
Code
Service
Data
Tourism
Sensor Data
Data item
(Data definition)
Information
(Data model)
Healthca
re
Transpor
tation
Disaster
Public
service
Infrastru
cture
Manufac
ture
・・・
Format
Service catalogue
Corporate Information Public event Information
Base registries
Data quality
Service catalogue

14. CORPORATE INFORMATION
METI: Ministry of Economy, Trade and Industry
13

15. Digital Platform project in METI
Authentication
system
Application
system
Database
Data Exchange
Platform
Open Data
Information
Service
Regulation
Interoperability Framework

16. Reference data models for digital platform
Application
data
Evidence
and
notification
data
Use case
data
Public
service data
Public event
data
Report &
materials
data
Public
service
contact
point data
Service catalogue
Guidebook of Concept & core data model
Reference data models of corporation and their activities (IMI)
Information
Service
Regulation
Data
(Interface)

17. February, 2019
Corporate identity
federation system(gBiz ID)
1 ID/Pass Authentication
for several administrative
procedures.

18. September, 2019
General Grant
Application Service
(jGrants)
Complete whole
procedures for grants
applications online

19. February, 2019
Test use of prototype for
both companies and
SME supporters
Open a one-stop platform
to provide support
information and
application procedures
April, 2020

20. January, 2017
Open data for corporate
information linked to
Corporate Number
Create an open
database for
corporates

21. April, 2015
A system for
visualizing statistics
on a map
EBPM
Workshops for
regional economy

22. March, 2017
Core Vocabulary 2.4
for corporation
Standard data models
for business activities
Application
Evidence
Citation
Use case
Public service

23. PUBLIC EVENT INFORMATION
CAS: Cabinet Secretariat
22

24. Tourism information(with disaster response information)
 The government chose tourism information as a demonstration field for the
Society 5.0 data exchange platform.
23
体験・見
学・観光
プラット
フォーム
Evacuation
information
Sports
API
Historical
map
Exhibition
Concert
Seminar
Conference
Public Facility
Dam
Festivals
Tourism event
Accessibilit
y
map
Restaurant
site
Tourism
services
Citizens can
choose various
services.
Public sectors
Gather and
distribute the
open data
Ministries
Facilities
Events
Municipalities
Museums
Stadiums
Dams
Water plants
Energy plants
Historical place
Scenery place
Free wifi
AED
Hospitals
Toilet
Shelters for
DRM
Tourism information site
(Under disaster situation)
Rescue & support activity
Public Event Data

25. Nominal event application
 METI will launch the nominal event application service next April.
 It will use the subset of the public event vocabulary. And all data is
interoperable using IMI.
24
Send the
application data
Receive the data Check the data
Report the event
Publish the open
data
Receive the
approval
Send the approval
Accept the report
Event
Application data
Public event data
Public event data
Application data
Public event data
Approval data
Report data

26. BASE REGISTRIES & DATA QUALITY
CAS & METI
25

27. Base Registries
 We made a list of all government data last year. We will make priority them
this year.
 We will pick up base registries from the list and check the data quality.
26
List of
government
data
List of base
registries
Filter the
data list
Check the
data quality

28. Data quality
 Data quality assurance is important. We will establish a framework this
year.
Data design
Data
collection
Data
integration
External data
acquisition
Data
processing
Presentation
Other use
Data store
Delete
NTA
MIC
Acq.RGSTR
EDINET
MoJ
Other
Ministries
MIC
Item code
Sample of data quality model (ISO25000)
(Corporate information portal site)
Not updated
SpeedInsufficient
update
No
standard
procedure
Not real
time data
Coverage

29. 詳細品質
 To improve data quality, it is necessary to establish a culture of managing
data.
Accuracy
Completeness
Consistency
Credibility
Currentness
Accessibility
Compliance
Confidentiality
Efficiency
Precision
Traceability
Understandability
Availability
Portability
Recoverability
Data-related support
Resource provision
Implementation
Data quality planning
Requirements management
Data quality strategy
management
Data quality policy/Standard/
Procedures management
Data quality implementation
planning
Data quality
improvement
Root cause analysis & solution
development
Data cleansing
Process Improvement for data
nonconformity prevention
Data quality control
Provision of data specification
& work instruction
Data processing
Data quality monitoring &
control
Data quality assurance
Review of data quality issue
Provision of measurement
criteria
Measurement of data quality &
process performance
Evaluation of measurement
results
Data architecture management
Data transfer management
Data operation management
Data security management
Data quality organization
management
Human resource management
Detailed structure of data quality management (ISO8000-61)
ISO/IEC 25012:2008 Software engineering
-- SQuaRE
-- Data quality model
28
Sample of data quality model
(MoJ Business register)