Open Data Policy & National Data Strategy (June 2022)

Overview of open data activities in Japan.
This is a presentation for the OECD open data expert group meeting.

Transcript

1. Open Data Policy & National Data Strategy Kenji Hiramoto Head of Data Strategy, Executive officer 1 Government of Japan
2. • 2012 Open government data strategy • 2017 Basic principles on Open data Open Data Strategy and policy 2 Principle • Open data by default Data • Findable • Reusable • Machine readable Open data catalogue Data models Advisors Training course Use cases
3. • 2020.2 Covid-19 －Positive point ∙ Open data and open source of covid-19 dashboard by the Tokyo metropolitan government ∙ CivicTech activities › Dashboard of the situation of hospitals › Portal site of support programs from private sectors －Problems ∙ Insufficient of › basic data › machine-readable data › data models › rules to reuse data Covid-19 and National Data Strategy(NDS) We had just started a data strategy taskforce in January 2020. 2021.6 NDS was published Change of mind for digital society Leadership Reference architecture 3
4. • Vision －We aim to realize a sustainable human society by 2030. －The society creates new value by achieving both economic development and solving social issues. －It is achieved through a digital twin by using data. －Our society values trust and safety. It is essential to realize high efficiency and hospitality services at the same time. －It is consistent with the vision of Society 5.0 that is the future vision of Japan. National data strategy 4
5. • Anyone get data easily, start business quickly and use high-quality services. Vision for 2030 citizen-centric society High value data sets Statistics Realtime sensor data Livable Base registries Open Data ＋Data from private sectors Platform Start-ups • Person • Legal entities • Land • Administration data • Traffic • Weather Digital Twin Service providers keep their services, sustainably. Trust＆ Safety 5
6. Trust （DFFT） Architecture of our strategy Data Data Service Platform Service Platform Rule Rule Security / Privacy Security / Privacy Services for citizens and businesses Services for citizens and businesses Organization and human resource Organization and human resource Infrastructure, Asset Infrastructure, Asset Tools Tools Maximizing the Value of services Base registries Base registries Sensor data Sensor data Statistics Statistics Open data Open data 6
7. • Stakeholders • Transactions • Original copy Trust Trust • DATA-EX • Catalogue Platform Platform • Base registries • Open data • Data engineering Data Data • Smart cities • Disaster risk Management Showcase Showcase Priority Actions 7 Citizens use and store data with confidence Citizens efficiently use data Citizens can use various data Citizens understand the value of data
8. Quantity of Data Diversity of Data Quality of Data Findability Usability Requirements and solutions for data layer 8 Open data initiative Base registries Data catalogue / Data dictionary Government Interoperability Framework (Data quality, Data management) Government Interoperability Framework (Data model, Platform) Requirement Solution
9. Administrations • Base registries are databases of basic social data on people, corporations, land, buildings, qualifications, etc., which is registered and disclosed by public organizations and referred to in various social activities. • This program is the foundation for all social activities and an essential environment in a digital society. Base registries Land Building Infrastru cture Legal entity Base registries Person Transpor tation Public facility Event Support program License Society 9
10. • We are rebuilding from the basic environment. Open data initiative 10 Open data Training course Use cases GIF((Government Interoperability Framework) Advisors GIF data models Data catalogue / Data dictionary Term and condition for open data DCAT-GOJ Platform (Data space) Base registries Tools Citizen or Servicer Rule for data sharing Rule for design Data Platform Rule for use Knowledge & Support Rule for Trust
11. Data Code Character Data（Japanese/English） Core data parts Core vocabulary Numeric data（Sensing data, Image 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. Accessibility 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 contribute to keep sustainability and enhance open data. GIF(Government Interoperability Framework) 11 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
12. • Data maturity is important to make services by using open data. Data maturity and quality 12 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?
13. Open data is key element for smart cities Smart City Digital Garden City Digital Village Public service density/ Public transportation Nature & Environment Aging Congestion Disaster Risk Management Carbon Neutral Zero carbon city / Carbon neutral leading area 13
14. • 3D city models and Digital Twins are new trend for open data. • Especially, disasters are key trigger to enhance open data in Japan. New trends 14 https://www.mlit.go.jp/plateau/ Laser scanned point data 2021.7 Disaster(Debris flow) at Shizuoka pref. Comparison with past data cross-section view Calculate the quantity of debris https://blogs.newtohoku.org/article/img/fanmeeting2021/post-05/presentation1.pdf https://www.youtube.com/watch?v=dbRRwQje9Fo Virtual Shizuoka 3D point data Plateau 3D models(CityGML)
15. We are building the future society. 15