SlideShare a Scribd company logo
“Open Data Towards Open Government” conference by Electronic Government Agency (EGA), 12 November 2014 , Bangkok, Thailand 
Dimensions of Open Data Activities in Japan: 
Policy, Technology and Community 
Hideaki Takeda 
National Institute of Informatics 
takeda@nii.ac.jp 
Special thanks to Kenji Hiramoto, Executive adviser for CIO, Ministry of Economy, Trade, and Industry (METI) 
Fumihiro Kato, National Institute of Informatics/Linked Open Data Initiative 
Iwao Kobayashi, Linked Open Data Initiaitive
Profile 
• Professor, Informatics Principle Research Division, National 
Institute of Informatics (NII) 
• Professor, Graduate University for Advanced Studies (Sokendai) 
• Member, Committee of open government data, Cabinet 
secretariat 
• Deputy Chair, Technology WG, Open data promotion 
consortium, Sponsored by Ministry of Internal Affairs and 
Communications (MIC) 
• Former member, IT Fusion Forum - Public data WG, Ministry of 
Economics, Trade, and Industry (METI) 
• President, Open Data Initiative Inc.
The beginning of the beginning
Transition of Japanese IT Strategy 
2001– 2006– 2009 
E-Japan 
Strategy II 
(July 2003) 
New IT Reform 
Strategy 
(Jan2006) 
E-Japan 
Strategy 
(Jan 2001) 
Achieve an IT country 
on the cutting edge of 
the world by 2005 
Achieve a society where 
anyone, can feel the 
benefits of IT anytime 
and anywhere in 2010 
2010 
i-Japan Strategy 
2015 
(July 2009) 
Strive to create 
a citizen -driven 
reassuring & 
vibrant digital 
society 
A New Strategy 
in IT 
(May 2010) 
Achieve transition to 
a citizen-driven society 
and a true knowledge 
-information society 
2013 ~2020 
Declaration to be 
the World’s Most 
Advanced IT 
Nation(June 2013) 
Achieve an IT country 
on the cutting edge of 
the world by 2020 
Emphasis on 
IT utilization 
Driving forward 
the IT structural 
revolution 
Development 
of broadband 
infrastructure 
The benefits of 
digital 
technologies 
for all 
Establishment of a 
new society where 
the citizens hold 
sovereignty 
Eliminating Gridlock 
and Rejuvenating 
Japan 
4
e-japan, e-japan II, i-japan, … 
• A lot of works are done, but many do not work as expected 
• One-stop service 
• Personal number card 
• Patent DB 
• … 
• Why? 
• SE Vendor lock-in 
• Sectionalism 
• Public support
3.11 
The Great East Japan Earthquake
Damage & confusion, then process of recovery
Sinsai.info: GIS based disaster information 
• ”Sinsai.info” was voluntarily launched only four hours late after the 
earthquake 
Ushahidi 
• GIS & disaster supporting information as well as damage status. 
• Lifeline status, relief supply & shelter information, volunteer information, and 
medical facility information etc. with locations and details are available on the map 
Icons are displayed on the 
map. Zoom into the local 
area for detail information. 
All Categories 
Accurate Information 
Lifeline Status 
Transportation 
Relief Supply 
Shelter 
Request for volunteers 
Medical Facility 
Employment Information
Traffic and Road Closure Information after the earthquake 
• ITS Japan provides traffic and road closure information provided by GIA(Geospatial Information Authority) 
and four private films. 
• Honda, Toyota, Nissan, Pioneer 
• Mapion and Isuzu provide truck traffic information. 
Traffic and road closure information Truck traffic information 
Blue points are traffic information. 
Red points are road closure points. 
Blue points are traffic information of big trucks. 
Green points are traffic information of small trucks. 
http://www.its-jp.org/saigai/ http://www.mapion.co.jp/feature/eq2011/traffic.html
Information on Planned blackout 
1.TEPCO showed information on the planned blackout with scanned PDF
Information on Planned blackout 
2.Someone transformed and published as csv. 
http://code.xenophy.com/?p=1323
Information on Planned blackout 
3.Someone published as application.
Government and people realized the importance of open data
Policy 
Technology Community
Policy Policy 
Technology Community
Transition of Japanese IT Strategy 
2001– 2006– 2009 
E-Japan 
Strategy II 
(July 2003) 
New IT Reform 
Strategy 
(Jan2006) 
E-Japan 
Strategy 
(Jan 2001) 
Achieve an IT country 
on the cutting edge of 
the world by 2005 
Achieve a society where 
anyone, can feel the 
benefits of IT anytime 
and anywhere in 2010 
2010 
i-Japan Strategy 
2015 
(July 2009) 
Strive to create 
a citizen -driven 
reassuring & 
vibrant digital 
society 
A New Strategy 
in IT 
(May 2010) 
Achieve transition to 
a citizen-driven society 
and a true knowledge 
-information society 
2013 ~2020 
Declaration to be 
the World’s Most 
Advanced IT 
Nation(June 2013) 
Achieve an IT country 
on the cutting edge of 
the world by 2020 
Emphasis on 
IT utilization 
Driving forward 
the IT structural 
revolution 
Development 
of broadband 
infrastructure 
The benefits of 
digital 
technologies 
for all 
Establishment of a 
new society where 
the citizens hold 
sovereignty 
Eliminating Gridlock 
and Rejuvenating 
Japan
History of e-Government actions
Time Series: Open Government &Data Policies 
2008 
2009 
2010 
2011 
2012 
2008.10 Public Sector CIO Forum started discussion of open data 
2009.3 Open Government Project Plan was announced 
2009.10 Discussion-board “Idea box” was opened to solicit ideas from public. 
2010.7 Demonstration site “Open Government Lab” was launched. 
Open Government 
2011.7 “Setsuden.go.jp” was launched. 
Real data on the actual electricity usage was uploaded on the website, many voluntary applications were developed. 
2011.10 Japanese character set (open data, API) was released. 
2012.7 Open Data Initiative “DATA METI Plan” was created 
2012.8 Under “IT fusion forum”, “Public Sector Information Working Group” was established 
 Rules for the use of PSI and other fundamental discussed by experts. 
2013.1 “Open DATA METI」-βversion” was launched 
 First governmental data catalog site in Japan. Released public data in possession of METI. 
2013.3 METI made proposal for open data policy to government open data council 
2013.6 Report of the discussion at Public Data Working Group was released 
2013 
2012.1 “Recovery and Reconstruction Support Program Database” was launched 
 One-stop service site where users can search through a wide range of support programs by the central and local governments. 
2013.12 Government Open Data site “Data.go.jp” was launched 
Open Data
Action Plan for Open Government Infrastructure 
• Government infrastructure renovation 
• We will make an agile open government infrastructure by 2020. 
Services 
Government services, Private services 
Contents 
Web contents 
(Policy, News, Law, etc.) 
Data 
Catalog 
Governance 
Rule 
Go domain (Internet address) 
Code 
Vocabulary 
Character-set 
Citizen centric services 
・Mush-up 
・BPR 
・Data science 
Standard based Infrastructure 
・Core vocabulary-set 
Name, Address and Organization. 
METI will launch IMI DB. 
MIC will promote API project. 
・Sustainable 
・Design & Develop Standard 
Ministr 
y 
site 
Special 
site 
Private 
sector 
Acquisition, 
grant info. 
site 
Information Components 
・Structured information 
・Common tags 
・Large quantity of information 
・API 
Hardware/Middleware(Government Cloud) 
Before the action plan 
Independent services 
After the action plan 
Services on an architecture 
2014-4-25 CIO 
Council
What’s open data? 
• The massive volumes of diverse data in the possession of the 
public and private sectors is a source of completely new 
knowledge and in management resource. 
• The use of digitized data that leads to the creation of new 
industries and services as well as the invigoration of existing 
industries, businesses, and communities is a central for achieving 
growth. 
Open data are an untapped resource with huge potential to encourage 
the building of stronger, more interconnected societies that better meet 
the needs of our citizens and allow innovation and prosperity to flourish. 
G8 Open Data Charter 
OpenData is an enabler that will change social structure.
Open Government Data Strategy 
July 4, 2012 
IT Strategic Headquarters, Japan 
(Director-General: The Prime Minister)
Ⅰ. Significance and Objectives 
The significance and objectives of promoting the use of public data are set forth below 
(1) Enhance Transparency and Confidence 
・Raise the transparency of government 
・Build confidence in government by the public 
Promote Participation by the Public and 
Collaboration between the Public and Private Sectors 
(2) 
・Rapidly and efficiently provide public services that make use of creative innovations 
・Respond to the diversification of needs and values. 
(3) Economic Stimulus and Higher Efficiency in Government 
・Provide stimulus to the entire economy of Japan 
・Increase the efficiency of advance operations by the national and local governments
Ⅱ. Basic Direction 
1. Fundamental Principles 
The fundamental principles concerning measures for promoting the use of public sector information in 
Japan are set forth in (1) through (4) below: 
(1) Government shall actively release public data. 
(2) Public data shall be released in machine-readable formats. 
(3) The use of public information shall be encouraged whether for commercial 
or non-commercial purposes. 
(4) Specific measures shall be taken such as the prompt disclosure of public data 
that can be released and results shall be steadily accumulated. 
2. Public Data Subject to Measures 
Measures will be taken first with respect to data in the possession of the government (excluding 
information not suitable for public release such as information relating to security), 
and the measures will be expanded to independent administrative institutions, local 
governmental bodies, public utilities, and so on. 
3. Collaboration with the Private Sector and Local Governmental Bodies 
From the perspective of encouraging the use of public data through various means 
that take advantage of creative innovations, the government will collaborate fully 
with the private sector and local governmental bodies.
Ⅲ. Specific Measures 
1. Promoting the Use of Public Data 
• The MIC and the METI will implement trial programs as set forth in (1) 
through (3) in collaboration with government ministries, independent 
administrative institutions, local governmental bodies, and the private sector. 
(1) Identification of Public Data Use Needs 
By conducting investigations in collaboration with the private sector and holding service development contests and so on, 
public data use needs will be investigated and analyzed and issues concerning current use will be examined and organized. 
(2) Examination and Organization of Issues Relating to Current 
Data Provision Methods 
Issues will be examined and organized through trial projects, surveys, and research in order to create the rules necessary for 
the use of the public, develop data catalogs, and promote standardization of data formats and structures. 
(3) Development of Private Sector Services 
By conducting investigations in collaboration with the private sector and holding service development contests and so on, 
examples of service development by the private sector using public data will be accumulated.
Ⅲ. Specific Measures 
2. Development of Environments for the Use of Public Data 
• The Cabinet Secretariat will obtain the cooperation of relevant ministries and 
develop the following environments for the use of public data. 
(1) Creation of Rules Necessary for the Use of Public Data 
Rules necessary for the use of public data will be created with respect to the handling of copyrights at the time of disclosure 
of data by government ministries, use conditions, rules on access from machines, allocation of responsibilities between users 
and providers, and handling of confidential information 
(2) Development of Data Catalogs 
Data catalogs that collect metadata including summaries and data formats will be developed with respect to data that is 
available for secondary use 
(3) Promotion of Standardization of Data Formats and 
Structures 
Standardization concerning data formats and structures and methods of prevention will be promoted and manuals and 
support tools will be developed to enable machine reading and collaboration and searches among multiple agencies and 
fields 
(4) Investigation of Support to Provider Agencies 
Investigation and organization of the issues concerning reviews of operational procedures suitable for the provision of public data 
by provider agencies and fees relating to the provision of public data and of feasible policies will be conducted from the 
perspective of providing support to agencies that provide public data.
Ⅳ. Implementation Structures 
Implementation Structures : 
• The Cabinet Secretariat established a committee of open government 
data from the public and private sectors as the body for implementing 
open data policies 
(1) Investigation of fundamental matters including the development of 
environments for the use of public data; 
(2) Investigation of policies to be implemented in the future 
and adoption of a roadmap; 
(3) Review and follow-up on policies. 
Committee of open government data 
(Cabinet secretariat) 
IT Fusion Forum - Public data wg. 
(METI) 
Open data promotion consortium 
(Sponsored by MIC) 
METI:Ministry of Economy, Trade and Industry 
MIC:Ministry of Internal Affairs and Communications
Open data team 
• Cabinet Secretariat reviews all projects in terms of comprehensive 
coordination of basic direction of policies and measures for open 
data. 
Committee of open government data 
(Cabinet secretariat) 
Data working group Rule working group 
IT Fusion Forum - Public data wg. 
METI:Ministry of Economy, Trade and Industry 
MIC:Ministry of Internal Affairs and Communications 
(METI) 
Open data promotion consortium 
(Sponsored by MIC) 
Report 
Roadmap 
Guideline 
Etc. 
Ministries 
NPO 
Industries 
Output 
Members
Technology Policy 
Technology Community
Technology requirements 
• Use technology such as 
• the state-of-the-art 
• Standard (de jure / de facto) 
• Global cooperation 
• Work with 
• academia 
• (hacker) community
Standards 
• License 
• Creative Commons (CC0, CC-BY, CC-BY-SA) 
• Repository 
• CKAN 
• Github 
• LOD 
• RDF, RDFS, OWL 
• SPARQL 
• Schemata 
• Dublin Core, foaf, SKOS, Data Cube … 
• Ontology 
• We can share tools, knowledge and users all over the world with standards 
Don’t reinvent the wheel! Share!
Technology-oriented NPOs 
Open Knowledge Foundation Japan
Commitment of academia people 
• NPOs are run mainly by academia people 
• Government activities also involve academia people 
• In particular, Semantic Web people have committed to open data 
activities from the very beginning!
What is Open Data 
• “A piece of data or content is open if anyone is free to use, reuse, and 
redistribute it — subject only, at most, to the requirement to attribute 
and/or share-alike.” http://opendefinition.org/
Data is not product, rather raw materials 
Free to use Free to re-use Free to distribute 
ん
Requirement for Open Data 
• Open License 
• Machine-readable format
Open License 
• License which allow to use openly with the very 
limited requirements 
CC0 
Public Domain 
CC BY 
Attribution 
CC BY-SA 
Attribution 
-ShareAlike 
CC BY-NC 
Attribution 
-NonCommercial 
CC BY-ND 
Attribution 
-NoDerivs 
CC BY-NC-SA 
Attribution 
-NonCommercia 
l-NoDerivs 
CC BY-NC-ND 
Attribution 
-NonCommercial 
-ShareAlike 
All rights reserved 
CC license 
With some rights 
Open License
Machine-readable format 
• Re-usability 
• One can cut and paste contents 
• One can edit contents with programs 
• With proprietary program-readable F. 
• With open format 
• Linkable like Web
5 ★ Open Data 
link your data to other 
data to provide context 
use non-proprietary formats (e.g., CSV 
instead of Excel) 
make it available as structured data (e.g., Excel instead of 
image scan of a table) 
make your stuff available on the Web (whatever 
format) under an open license (e.g., jpeg, pdf) 
use URIs to denote things, so that 
people can point at your stuff
e-Stat (Ministry of Internal Affairs and Communications ) 
• The Portal Site of Official Statistics of Japan, e-Stat (the "Site"), launched on 1st April 2008, delivers the one-stop 
service for official statistics of the Japanese government, which is pursuant to "the Optimization Plan of 
Business Processes and Systems of Statistical Surveys and related work" (Ministries CIO Council decision, 31 
March 2006). Under the Optimization Plan, which is promoted by the Statistics Bureau, Ministry of Internal 
Affairs and Communications with collaboration of Ministries and Agencies, the Site aims to gather 
information from statistical departments of Ministries and Agencies, and provides general public with 
statistical data, schedule of release, etc. 
• The Site is managed and maintained by the National Statistics Center.
Public Vocabulary Framework project 
• Infrastructure for Multilayer Interoperability (IMI) 
• Prepare a framework that enables exchange of data, primarily vocabulary sets. 
• Divide into two areas. 
• core and business domain 
• Unnecessary to reconvert exiting systems. 
• International interoperability 
• Utilize existing standards as much as possible. 
Applications 
Share, Exchange, Storage 
(Format) 
Vocabulary 
IMI 
Citizen ID Enterprise ID Character-set 
Japanese 
Local 
government 
Standard 
(APPLIC) 
IMI 
Defact 
Standard 
(DC, foaf, 
etc) 
NIEM 
(US) 
ISA 
(EU) 
Schema.org 
International interoperability is highly 
considered in preparing IMI. 
Primary considerations: 
vocabulary sets used in Japan and 
existing standards
Vocabulary structure of IMI 
• IMI consists of core vocabulary, cross domain vocabulary and domain-specific 
vocabularies. 
Hospital 
Core 
Vocabulary 
Core Vocabulary 
Universal vocabularies that are widely used 
in any domain. 
Eg) people, object, place, date. 
Domain-specific Vocabularies 
Vocabularies that are specialised for 
the use in each domain. 
Eg) number of beds, Schedule. 
Shelter 
Location 
Station 
Disaster 
Restoration 
Cost 
Cross Domain Vocabulary 
Key vocabularies among domain-specific 
vocabularies that are 
referenced in other domains. 
Eg) hospital, station, shelter. 
Geographical Space 
/Facilities 
Transportation 
Disaster 
Prevention 
Finance 
Cross Domain 
Vocabulary 
Domain-specific 
Vocabularies
Image of IMI vocabulary 
• Vocabulary set and Information Exchange Package are defined in 
trial area. 
項目名英語名データタイプ項目説明項目説明(英語) キーワードサンプル値Usage Info 
人PersonType 
氏名PersonName PersonNameType 氏名Name of a Person - 
性別Gender 
<abstract element, 
no type> 
性別Gender of a Person - 
Substitutable 
Elements: 
性別コードGenderCode CodeType 性別のコードGender of a Person 1 
APPLIC標準仕様V2.3 
データ一覧 
住民基本台帳:性別 
引用 
性別名GenderText TextType 性別Gender of a Person 男 
現住所PresentAddr 
ess 
AddressType 現住所- 
本籍AddressType 本籍- 
… … … … … … … … … 
… … … … … … … … … 
項目名(Type/Sub-properties) 英語名データタイプ… 
氏名PersonNameType 
氏名FullName TextType 
フリガナTextType 
姓FamilyName TextType 
カナ姓TextType 
… … … 
AED 
Location 
Address 
LocationTwoDimensional 
GeographicCoordinate 
Equipment 
Information 
Spot of 
Equipment 
Owner 
Business Hours 
Access 
Availability 
User 
Day of 
Installation 
Homepage 
AED 
Information 
Type of Pad 
Expiry date 
Contact 
Type 
Model Number 
Serial Number 
Photo 
Note 
Information 
Source 
Sample 1 : Definition of vocabulary 
Sample 2 : Information Exchange Package
Government IMI project 
1st Step 
• 3 major Core vocabulary will be recommended as exchange model. 
• Person, Location and Organization are priority area. 
There are many application forms and databases in government. 
IMI 
Core Vocabulary 
2nd Step 
• Establish a rule for cooperation with the existing vocabulary. 
Applicati 
on Form 
Database 
Applicati 
on Form 
Database 
Applicati 
on Form 
Database 
Person 
Location 
Organization 
Recommendation 
METI will make a vocabulary database. 
MIC will make API for Open data prototype infrastructure.
Local governments
Applications
Yokohama Art Spot 
• Introduces local information on art in Yokohama. 
• Uses three different LODs as data sources. 
LODAC Museum × Yokohama Art LOD × PinQA 
Museum Collection Local Information Q&A 
http://lod.ac/apps/yas/
Yokohama Maps
Overview of the System 
• Map view 
• Institution view 
• Administration view
育なび.ne育なtび(.niekt unabi.net or child-care.net)
育なび.net (ikunabi.net or child-care.net) 
Nursery 
school 
data 
Vacancy 
Data of 
nursery 
school 
Medical 
institution 
data 
disaster 
prevention 
data 
Others 
Originally data is 
written by EXCEL 
Translation 
to RDF 
RDF Store 
Database 
SPARQL 
response 
Web server Browser
育なび.net (ikunabi.net or child-care.net) 
Data about safety 
evacuation area 
Data about park 
Data about parking 
Data about gym 
equipment
Where Does My Money Go? 
• “Where Does My Money Go?” show you your tax. 
Over 150 cities in Japan 
UK model 
Japan 
model
Fix my street 
• Report, view and discuss local problems 
Report Solved 
Local governments 
Smart phone 
Submit report 
Report 
Detail Information
Dark 
Bright 
Street map 
• Local government provides the data of streetlamps. 
• NGY Night street advisor 
• Street lamp information (100,000) + Google map 
• Navigation function. 
Safety route!
Community Policy 
Technology Community
Information publication (before open data) 
Public Sector 
citizen 
Info. Publication 
- Required data 
- Required method 
Request 
Frustration to 
respond lots of 
requirements 
Frustration 
for no or lazy 
response
Information sharing as open data 
Third party = citizen, programmers, and cooperates 
Public sector 
citizen 
Share of requests 
Just focus 
on data 
Translate/integrate/ 
mashup for required 
methods)へ
Lots of hackathons, ideathons, un-conferences
http://codeforeurope.net/
http://code4japan.org/
http://hackforchange.org/
30 cities in 2014! 
http://opendataday.org/
321 submissions in 2014!
Summary 
• Policy X Technology X Community made a good inertia 
• The beginning is OK, but how can we continue? 
• Challenges 
• Involve more people 
• Start more business 
• Evolve technology 
• Change administration/society systems 
Policy 
Technology Community

More Related Content

What's hot

DEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHY
DEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHYDEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHY
DEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHY
IJMIT JOURNAL
 
Kenya Vision 2030-3566
Kenya Vision 2030-3566Kenya Vision 2030-3566
Kenya Vision 2030-3566
Betty Akoth Onyando
 
Digital Governance & Artificial Intelligence
Digital Governance & Artificial IntelligenceDigital Governance & Artificial Intelligence
Digital Governance & Artificial Intelligence
Yannis Charalabidis
 
Digital Economy by Johannes Bauer
Digital Economy by Johannes BauerDigital Economy by Johannes Bauer
Digital Economy by Johannes Bauer
QuelloCenteratMichiganStateUniversity
 
Role of voluntary initiatives in building spatial data infrastructure
Role of voluntary initiatives in building spatial data infrastructureRole of voluntary initiatives in building spatial data infrastructure
Role of voluntary initiatives in building spatial data infrastructure
Karel Charvat
 
Internet & ICT4D
Internet & ICT4DInternet & ICT4D
Presentation from Andrew Sors
Presentation from Andrew SorsPresentation from Andrew Sors
Presentation from Andrew Sors
esangathan
 
Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...
Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...
Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...
Confederation of Indian Industry
 
Internet e ICT4D
Internet e ICT4DInternet e ICT4D
Internet e ICT4D
Roberto Polillo
 
Proposing EA framework to analyse the SNS for e-Gov Services in Mongolia
Proposing EA framework to analyse the SNS for e-Gov Services in MongoliaProposing EA framework to analyse the SNS for e-Gov Services in Mongolia
Proposing EA framework to analyse the SNS for e-Gov Services in Mongolia
Tumennast Erdenebold
 
Designing e-government services for collaboration between citizens and the pu...
Designing e-government services for collaboration between citizens and the pu...Designing e-government services for collaboration between citizens and the pu...
Designing e-government services for collaboration between citizens and the pu...
Teemu Ropponen
 
WebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ Network
WebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ NetworkWebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ Network
WebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ Network
Jeff Ng
 
Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014
Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014
Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014
Tumennast Erdenebold
 
NATIONAL INFORMATICS CENTRE-NIC- INDIA
NATIONAL INFORMATICS CENTRE-NIC- INDIANATIONAL INFORMATICS CENTRE-NIC- INDIA
NATIONAL INFORMATICS CENTRE-NIC- INDIA
Saajida Sultaana
 
The Generations of Digital governance : From Paper to Robots
The Generations of Digital governance : From Paper to RobotsThe Generations of Digital governance : From Paper to Robots
The Generations of Digital governance : From Paper to Robots
Yannis Charalabidis
 
Building the Social Internet of Things
Building the Social Internet of ThingsBuilding the Social Internet of Things
Building the Social Internet of Things
Bill Harpley
 
Philippine digital strategy 2011-2016
Philippine digital strategy 2011-2016Philippine digital strategy 2011-2016
Philippine digital strategy 2011-2016
Tonyo Cruz
 
Japón kiyoko tsutsumi
Japón kiyoko tsutsumiJapón kiyoko tsutsumi
Japón kiyoko tsutsumi
Observatoriodigital
 
Impact of M-Government use on Migration Intentions in Rural Area, the Case of...
Impact of M-Government use on Migration Intentions in Rural Area, the Case of...Impact of M-Government use on Migration Intentions in Rural Area, the Case of...
Impact of M-Government use on Migration Intentions in Rural Area, the Case of...
Tumennast Erdenebold
 
GCC Social Security Conference - Ryiadh April 10th 2014
GCC Social Security Conference - Ryiadh April 10th 2014GCC Social Security Conference - Ryiadh April 10th 2014
GCC Social Security Conference - Ryiadh April 10th 2014
Christian Wernberg-Tougaard
 

What's hot (20)

DEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHY
DEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHYDEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHY
DEFINING ICT IN A BOUNDARYLESS WORLD: THE DEVELOPMENT OF A WORKING HIERARCHY
 
Kenya Vision 2030-3566
Kenya Vision 2030-3566Kenya Vision 2030-3566
Kenya Vision 2030-3566
 
Digital Governance & Artificial Intelligence
Digital Governance & Artificial IntelligenceDigital Governance & Artificial Intelligence
Digital Governance & Artificial Intelligence
 
Digital Economy by Johannes Bauer
Digital Economy by Johannes BauerDigital Economy by Johannes Bauer
Digital Economy by Johannes Bauer
 
Role of voluntary initiatives in building spatial data infrastructure
Role of voluntary initiatives in building spatial data infrastructureRole of voluntary initiatives in building spatial data infrastructure
Role of voluntary initiatives in building spatial data infrastructure
 
Internet & ICT4D
Internet & ICT4DInternet & ICT4D
Internet & ICT4D
 
Presentation from Andrew Sors
Presentation from Andrew SorsPresentation from Andrew Sors
Presentation from Andrew Sors
 
Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...
Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...
Indo-US Best Practices Workshop on Digital Infrastructure and Broadband Deplo...
 
Internet e ICT4D
Internet e ICT4DInternet e ICT4D
Internet e ICT4D
 
Proposing EA framework to analyse the SNS for e-Gov Services in Mongolia
Proposing EA framework to analyse the SNS for e-Gov Services in MongoliaProposing EA framework to analyse the SNS for e-Gov Services in Mongolia
Proposing EA framework to analyse the SNS for e-Gov Services in Mongolia
 
Designing e-government services for collaboration between citizens and the pu...
Designing e-government services for collaboration between citizens and the pu...Designing e-government services for collaboration between citizens and the pu...
Designing e-government services for collaboration between citizens and the pu...
 
WebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ Network
WebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ NetworkWebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ Network
WebOrganic Sharing on Digital Inclusion at Wofoo Leaders’ Network
 
Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014
Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014
Mongolian e-Government Introduction by Tumennast KAIST ITTP 2014
 
NATIONAL INFORMATICS CENTRE-NIC- INDIA
NATIONAL INFORMATICS CENTRE-NIC- INDIANATIONAL INFORMATICS CENTRE-NIC- INDIA
NATIONAL INFORMATICS CENTRE-NIC- INDIA
 
The Generations of Digital governance : From Paper to Robots
The Generations of Digital governance : From Paper to RobotsThe Generations of Digital governance : From Paper to Robots
The Generations of Digital governance : From Paper to Robots
 
Building the Social Internet of Things
Building the Social Internet of ThingsBuilding the Social Internet of Things
Building the Social Internet of Things
 
Philippine digital strategy 2011-2016
Philippine digital strategy 2011-2016Philippine digital strategy 2011-2016
Philippine digital strategy 2011-2016
 
Japón kiyoko tsutsumi
Japón kiyoko tsutsumiJapón kiyoko tsutsumi
Japón kiyoko tsutsumi
 
Impact of M-Government use on Migration Intentions in Rural Area, the Case of...
Impact of M-Government use on Migration Intentions in Rural Area, the Case of...Impact of M-Government use on Migration Intentions in Rural Area, the Case of...
Impact of M-Government use on Migration Intentions in Rural Area, the Case of...
 
GCC Social Security Conference - Ryiadh April 10th 2014
GCC Social Security Conference - Ryiadh April 10th 2014GCC Social Security Conference - Ryiadh April 10th 2014
GCC Social Security Conference - Ryiadh April 10th 2014
 

Viewers also liked

Benjamin West
Benjamin WestBenjamin West
Benjamin West
jk1lee
 
ASWC2009 WS Talk
ASWC2009 WS TalkASWC2009 WS Talk
Expanding the content categories at JaLC
Expanding the content categories at JaLCExpanding the content categories at JaLC
Expanding the content categories at JaLC
National Institute of Informatics (NII)
 
A Journey Of Creation
A Journey Of CreationA Journey Of Creation
A Journey Of Creation
umm Ahmad
 
Linked Dataを知る、作る、使う
Linked Dataを知る、作る、使うLinked Dataを知る、作る、使う
Linked Dataを知る、作る、使う
National Institute of Informatics (NII)
 
Researchers and Identifiers
Researchers and IdentifiersResearchers and Identifiers
Researchers and Identifiers
National Institute of Informatics (NII)
 
オープンデータ 〜日本版データリポジトリの可能性〜
オープンデータ〜日本版データリポジトリの可能性〜オープンデータ〜日本版データリポジトリの可能性〜
オープンデータ 〜日本版データリポジトリの可能性〜
National Institute of Informatics (NII)
 
研究データ利活用協議会(仮)
研究データ利活用協議会(仮)研究データ利活用協議会(仮)
研究データ利活用協議会(仮)
National Institute of Informatics (NII)
 
オープンサイエンスとオープンデータ
オープンサイエンスとオープンデータオープンサイエンスとオープンデータ
オープンサイエンスとオープンデータ
National Institute of Informatics (NII)
 
DBpedia Japaneseとは?
DBpedia Japaneseとは?DBpedia Japaneseとは?
DBpedia Japaneseとは?
National Institute of Informatics (NII)
 
Knowledge is power (now again)
Knowledge is power (now again)Knowledge is power (now again)
Knowledge is power (now again)
National Institute of Informatics (NII)
 
DBpedia Japanese 運営の現状
DBpedia Japanese 運営の現状DBpedia Japanese 運営の現状
DBpedia Japanese 運営の現状
Fumihiro Kato
 
研究データ流通を支える情報基盤とは
研究データ流通を支える情報基盤とは研究データ流通を支える情報基盤とは
研究データ流通を支える情報基盤とは
National Institute of Informatics (NII)
 
Towards Knowledge-Enabled Society
Towards Knowledge-Enabled SocietyTowards Knowledge-Enabled Society
Towards Knowledge-Enabled Society
National Institute of Informatics (NII)
 
DBpedia Japanese
DBpedia JapaneseDBpedia Japanese
DBpedia Japanese
Fumihiro Kato
 
データ共有基盤の構築に向けて
データ共有基盤の構築に向けてデータ共有基盤の構築に向けて
データ共有基盤の構築に向けて
National Institute of Informatics (NII)
 
研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向について研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向について
National Institute of Informatics (NII)
 

Viewers also liked (20)

Benjamin West
Benjamin WestBenjamin West
Benjamin West
 
ASWC2009 WS Talk
ASWC2009 WS TalkASWC2009 WS Talk
ASWC2009 WS Talk
 
Expanding the content categories at JaLC
Expanding the content categories at JaLCExpanding the content categories at JaLC
Expanding the content categories at JaLC
 
A Journey Of Creation
A Journey Of CreationA Journey Of Creation
A Journey Of Creation
 
Linked Dataを知る、作る、使う
Linked Dataを知る、作る、使うLinked Dataを知る、作る、使う
Linked Dataを知る、作る、使う
 
JaLCにおけるDOI登録ポリシー
JaLCにおけるDOI登録ポリシーJaLCにおけるDOI登録ポリシー
JaLCにおけるDOI登録ポリシー
 
Researchers and Identifiers
Researchers and IdentifiersResearchers and Identifiers
Researchers and Identifiers
 
オープンデータ 〜日本版データリポジトリの可能性〜
オープンデータ〜日本版データリポジトリの可能性〜オープンデータ〜日本版データリポジトリの可能性〜
オープンデータ 〜日本版データリポジトリの可能性〜
 
農業It 20150312a
農業It 20150312a農業It 20150312a
農業It 20150312a
 
研究データ利活用協議会(仮)
研究データ利活用協議会(仮)研究データ利活用協議会(仮)
研究データ利活用協議会(仮)
 
オープンサイエンスとオープンデータ
オープンサイエンスとオープンデータオープンサイエンスとオープンデータ
オープンサイエンスとオープンデータ
 
DBpedia Japaneseとは?
DBpedia Japaneseとは?DBpedia Japaneseとは?
DBpedia Japaneseとは?
 
Knowledge is power (now again)
Knowledge is power (now again)Knowledge is power (now again)
Knowledge is power (now again)
 
DBpedia Japanese 運営の現状
DBpedia Japanese 運営の現状DBpedia Japanese 運営の現状
DBpedia Japanese 運営の現状
 
オープンデータ推進の課題とポイント
オープンデータ推進の課題とポイントオープンデータ推進の課題とポイント
オープンデータ推進の課題とポイント
 
研究データ流通を支える情報基盤とは
研究データ流通を支える情報基盤とは研究データ流通を支える情報基盤とは
研究データ流通を支える情報基盤とは
 
Towards Knowledge-Enabled Society
Towards Knowledge-Enabled SocietyTowards Knowledge-Enabled Society
Towards Knowledge-Enabled Society
 
DBpedia Japanese
DBpedia JapaneseDBpedia Japanese
DBpedia Japanese
 
データ共有基盤の構築に向けて
データ共有基盤の構築に向けてデータ共有基盤の構築に向けて
データ共有基盤の構築に向けて
 
研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向について研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向について
 

Similar to Dimensions of Open Data Activities in Japan: Policy, Technology and Community

201802d gov jp
201802d gov jp201802d gov jp
201802d gov jp
Kenji Hiramoto
 
180119 Digital Government in Japan
180119 Digital Government in Japan180119 Digital Government in Japan
180119 Digital Government in Japan
Kenji Hiramoto
 
Open data developments in Japan
Open data developments in JapanOpen data developments in Japan
Open data developments in Japan
ccAustralia
 
Auth0 e-0603
Auth0 e-0603Auth0 e-0603
Auth0 e-0603
Shotaro Suzuki
 
India unlocking the potential of Open Data
India unlocking the potential of Open DataIndia unlocking the potential of Open Data
India unlocking the potential of Open Data
Data Portal India
 
Open Government Platform
Open Government PlatformOpen Government Platform
181130d gov
181130d gov181130d gov
181130d gov
Kenji Hiramoto
 
Introduction Linked Open Data Initiative
Introduction Linked Open Data InitiativeIntroduction Linked Open Data Initiative
Introduction Linked Open Data Initiative
Iwao KOBAYASHI
 
20200707 Digital Government learning from COVID-19 in Japan
20200707 Digital Government learning from COVID-19 in Japan20200707 Digital Government learning from COVID-19 in Japan
20200707 Digital Government learning from COVID-19 in Japan
Hiroki Yoshida
 
Public Data Analysis and Utilization
Public Data Analysis and UtilizationPublic Data Analysis and Utilization
Public Data Analysis and Utilization
IRJET Journal
 
Open Data Strategy & Portal of Korea Govt. - Munshil Choi
Open Data Strategy & Portal of Korea Govt. - Munshil ChoiOpen Data Strategy & Portal of Korea Govt. - Munshil Choi
Open Data Strategy & Portal of Korea Govt. - Munshil Choi
Creative Commons Korea
 
Open Data for Development - John Ndungu, iLabAfrica
Open Data for Development - John Ndungu, iLabAfricaOpen Data for Development - John Ndungu, iLabAfrica
Open Data for Development - John Ndungu, iLabAfrica
Web Gathering
 
Moment of Change for Government Digitalization in Japan
Moment of Change for Government Digitalization in Japan Moment of Change for Government Digitalization in Japan
Moment of Change for Government Digitalization in Japan
Hiroki Yoshida
 
Internet of Things(Bangladesh)
Internet of Things(Bangladesh)Internet of Things(Bangladesh)
Internet of Things(Bangladesh)
Apurbo Datta
 
Where does EU money go? Availability and quality of Open Data on the recipien...
Where does EU money go? Availability and quality of Open Data on the recipien...Where does EU money go? Availability and quality of Open Data on the recipien...
Where does EU money go? Availability and quality of Open Data on the recipien...
Luigi Reggi
 
Introduction for Linked Open Data Initiative, Inc. (Japan)
Introduction for Linked Open Data Initiative, Inc. (Japan)Introduction for Linked Open Data Initiative, Inc. (Japan)
Introduction for Linked Open Data Initiative, Inc. (Japan)
National Institute of Informatics (NII)
 
20120720 open datapolicydevinjapan
20120720 open datapolicydevinjapan20120720 open datapolicydevinjapan
20120720 open datapolicydevinjapan
Tomoaki Watanabe
 
Harness IT: Seeking Transformation in the Philippines
Harness IT: Seeking Transformation in the PhilippinesHarness IT: Seeking Transformation in the Philippines
Harness IT: Seeking Transformation in the Philippines
Jo Balucanag - Bitonio
 
Lorena Pocatilu - strategies for smart city knowledge platform and open data
Lorena Pocatilu -  strategies for smart city knowledge platform and open dataLorena Pocatilu -  strategies for smart city knowledge platform and open data
Lorena Pocatilu - strategies for smart city knowledge platform and open data
tu1204
 
Digital transformation in the Spanish Government
Digital transformation in the Spanish Government  Digital transformation in the Spanish Government
Digital transformation in the Spanish Government
Miguel A. Amutio
 

Similar to Dimensions of Open Data Activities in Japan: Policy, Technology and Community (20)

201802d gov jp
201802d gov jp201802d gov jp
201802d gov jp
 
180119 Digital Government in Japan
180119 Digital Government in Japan180119 Digital Government in Japan
180119 Digital Government in Japan
 
Open data developments in Japan
Open data developments in JapanOpen data developments in Japan
Open data developments in Japan
 
Auth0 e-0603
Auth0 e-0603Auth0 e-0603
Auth0 e-0603
 
India unlocking the potential of Open Data
India unlocking the potential of Open DataIndia unlocking the potential of Open Data
India unlocking the potential of Open Data
 
Open Government Platform
Open Government PlatformOpen Government Platform
Open Government Platform
 
181130d gov
181130d gov181130d gov
181130d gov
 
Introduction Linked Open Data Initiative
Introduction Linked Open Data InitiativeIntroduction Linked Open Data Initiative
Introduction Linked Open Data Initiative
 
20200707 Digital Government learning from COVID-19 in Japan
20200707 Digital Government learning from COVID-19 in Japan20200707 Digital Government learning from COVID-19 in Japan
20200707 Digital Government learning from COVID-19 in Japan
 
Public Data Analysis and Utilization
Public Data Analysis and UtilizationPublic Data Analysis and Utilization
Public Data Analysis and Utilization
 
Open Data Strategy & Portal of Korea Govt. - Munshil Choi
Open Data Strategy & Portal of Korea Govt. - Munshil ChoiOpen Data Strategy & Portal of Korea Govt. - Munshil Choi
Open Data Strategy & Portal of Korea Govt. - Munshil Choi
 
Open Data for Development - John Ndungu, iLabAfrica
Open Data for Development - John Ndungu, iLabAfricaOpen Data for Development - John Ndungu, iLabAfrica
Open Data for Development - John Ndungu, iLabAfrica
 
Moment of Change for Government Digitalization in Japan
Moment of Change for Government Digitalization in Japan Moment of Change for Government Digitalization in Japan
Moment of Change for Government Digitalization in Japan
 
Internet of Things(Bangladesh)
Internet of Things(Bangladesh)Internet of Things(Bangladesh)
Internet of Things(Bangladesh)
 
Where does EU money go? Availability and quality of Open Data on the recipien...
Where does EU money go? Availability and quality of Open Data on the recipien...Where does EU money go? Availability and quality of Open Data on the recipien...
Where does EU money go? Availability and quality of Open Data on the recipien...
 
Introduction for Linked Open Data Initiative, Inc. (Japan)
Introduction for Linked Open Data Initiative, Inc. (Japan)Introduction for Linked Open Data Initiative, Inc. (Japan)
Introduction for Linked Open Data Initiative, Inc. (Japan)
 
20120720 open datapolicydevinjapan
20120720 open datapolicydevinjapan20120720 open datapolicydevinjapan
20120720 open datapolicydevinjapan
 
Harness IT: Seeking Transformation in the Philippines
Harness IT: Seeking Transformation in the PhilippinesHarness IT: Seeking Transformation in the Philippines
Harness IT: Seeking Transformation in the Philippines
 
Lorena Pocatilu - strategies for smart city knowledge platform and open data
Lorena Pocatilu -  strategies for smart city knowledge platform and open dataLorena Pocatilu -  strategies for smart city knowledge platform and open data
Lorena Pocatilu - strategies for smart city knowledge platform and open data
 
Digital transformation in the Spanish Government
Digital transformation in the Spanish Government  Digital transformation in the Spanish Government
Digital transformation in the Spanish Government
 

More from National Institute of Informatics (NII)

趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
National Institute of Informatics (NII)
 
趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜
National Institute of Informatics (NII)
 
"分人"型社会とAI
"分人"型社会とAI"分人"型社会とAI
セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築
National Institute of Informatics (NII)
 
研究オープンデータにおける大学と研究者の役割
研究オープンデータにおける大学と研究者の役割研究オープンデータにおける大学と研究者の役割
研究オープンデータにおける大学と研究者の役割
National Institute of Informatics (NII)
 
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
National Institute of Informatics (NII)
 
Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked DataPresenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data
National Institute of Informatics (NII)
 
Crop vocabulary (CVO): Core vocabulary of crop names
Crop vocabulary (CVO): Core vocabulary of crop namesCrop vocabulary (CVO): Core vocabulary of crop names
Crop vocabulary (CVO): Core vocabulary of crop names
National Institute of Informatics (NII)
 
ORCIDとオープンサイエンス
ORCIDとオープンサイエンスORCIDとオープンサイエンス
ORCIDとオープンサイエンス
National Institute of Informatics (NII)
 
How to build ontologies - a case study of Agriculture Activity Ontology
How to build ontologies - a case study of Agriculture Activity OntologyHow to build ontologies - a case study of Agriculture Activity Ontology
How to build ontologies - a case study of Agriculture Activity Ontology
National Institute of Informatics (NII)
 
LODとオープンデータ (DBpediaとIMIの周辺を中心に)
LODとオープンデータ(DBpediaとIMIの周辺を中心に)LODとオープンデータ(DBpediaとIMIの周辺を中心に)
LODとオープンデータ (DBpediaとIMIの周辺を中心に)
National Institute of Informatics (NII)
 
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
National Institute of Informatics (NII)
 
Working with Global Infrastructure at a National Level
Working with Global Infrastructure at a National LevelWorking with Global Infrastructure at a National Level
Working with Global Infrastructure at a National Level
National Institute of Informatics (NII)
 
Activities of JaLC as a national service
Activities of JaLC as a national serviceActivities of JaLC as a national service
Activities of JaLC as a national service
National Institute of Informatics (NII)
 
Development and Application of Agriculture Ontologies
Development and Application of Agriculture Ontologies Development and Application of Agriculture Ontologies
Development and Application of Agriculture Ontologies
National Institute of Informatics (NII)
 
Design Process of Agriculture Ontologies
Design Process of Agriculture OntologiesDesign Process of Agriculture Ontologies
Design Process of Agriculture Ontologies
National Institute of Informatics (NII)
 
AIの未来 ~技術と社会の関係のダイナミクス~
AIの未来~技術と社会の関係のダイナミクス~AIの未来~技術と社会の関係のダイナミクス~
AIの未来 ~技術と社会の関係のダイナミクス~
National Institute of Informatics (NII)
 
Use of Research (Meta-)Data - Finding researchers in/across organizations -
Use of Research (Meta-)Data  - Finding researchers in/across organizations -Use of Research (Meta-)Data  - Finding researchers in/across organizations -
Use of Research (Meta-)Data - Finding researchers in/across organizations -
National Institute of Informatics (NII)
 
A vocabulary based on agriculture activity ontology to facilitate incompatibi...
A vocabulary based on agriculture activity ontology to facilitate incompatibi...A vocabulary based on agriculture activity ontology to facilitate incompatibi...
A vocabulary based on agriculture activity ontology to facilitate incompatibi...
National Institute of Informatics (NII)
 
"オープン"を文化に ~インターネットがつくる新しいデータの世界~
"オープン"を文化に ~インターネットがつくる新しいデータの世界~"オープン"を文化に ~インターネットがつくる新しいデータの世界~
"オープン"を文化に ~インターネットがつくる新しいデータの世界~
National Institute of Informatics (NII)
 

More from National Institute of Informatics (NII) (20)

趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
 
趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜
 
"分人"型社会とAI
"分人"型社会とAI"分人"型社会とAI
"分人"型社会とAI
 
セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築
 
研究オープンデータにおける大学と研究者の役割
研究オープンデータにおける大学と研究者の役割研究オープンデータにおける大学と研究者の役割
研究オープンデータにおける大学と研究者の役割
 
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
 
Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked DataPresenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data
 
Crop vocabulary (CVO): Core vocabulary of crop names
Crop vocabulary (CVO): Core vocabulary of crop namesCrop vocabulary (CVO): Core vocabulary of crop names
Crop vocabulary (CVO): Core vocabulary of crop names
 
ORCIDとオープンサイエンス
ORCIDとオープンサイエンスORCIDとオープンサイエンス
ORCIDとオープンサイエンス
 
How to build ontologies - a case study of Agriculture Activity Ontology
How to build ontologies - a case study of Agriculture Activity OntologyHow to build ontologies - a case study of Agriculture Activity Ontology
How to build ontologies - a case study of Agriculture Activity Ontology
 
LODとオープンデータ (DBpediaとIMIの周辺を中心に)
LODとオープンデータ(DBpediaとIMIの周辺を中心に)LODとオープンデータ(DBpediaとIMIの周辺を中心に)
LODとオープンデータ (DBpediaとIMIの周辺を中心に)
 
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
 
Working with Global Infrastructure at a National Level
Working with Global Infrastructure at a National LevelWorking with Global Infrastructure at a National Level
Working with Global Infrastructure at a National Level
 
Activities of JaLC as a national service
Activities of JaLC as a national serviceActivities of JaLC as a national service
Activities of JaLC as a national service
 
Development and Application of Agriculture Ontologies
Development and Application of Agriculture Ontologies Development and Application of Agriculture Ontologies
Development and Application of Agriculture Ontologies
 
Design Process of Agriculture Ontologies
Design Process of Agriculture OntologiesDesign Process of Agriculture Ontologies
Design Process of Agriculture Ontologies
 
AIの未来 ~技術と社会の関係のダイナミクス~
AIの未来~技術と社会の関係のダイナミクス~AIの未来~技術と社会の関係のダイナミクス~
AIの未来 ~技術と社会の関係のダイナミクス~
 
Use of Research (Meta-)Data - Finding researchers in/across organizations -
Use of Research (Meta-)Data  - Finding researchers in/across organizations -Use of Research (Meta-)Data  - Finding researchers in/across organizations -
Use of Research (Meta-)Data - Finding researchers in/across organizations -
 
A vocabulary based on agriculture activity ontology to facilitate incompatibi...
A vocabulary based on agriculture activity ontology to facilitate incompatibi...A vocabulary based on agriculture activity ontology to facilitate incompatibi...
A vocabulary based on agriculture activity ontology to facilitate incompatibi...
 
"オープン"を文化に ~インターネットがつくる新しいデータの世界~
"オープン"を文化に ~インターネットがつくる新しいデータの世界~"オープン"を文化に ~インターネットがつくる新しいデータの世界~
"オープン"を文化に ~インターネットがつくる新しいデータの世界~
 

Recently uploaded

Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
BibashShahi
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Alex Pruden
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
Ivo Velitchkov
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Safe Software
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
Fwdays
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
DanBrown980551
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
AstuteBusiness
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
DianaGray10
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Antonios Katsarakis
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 

Recently uploaded (20)

Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptxPrinciple of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 

Dimensions of Open Data Activities in Japan: Policy, Technology and Community

  • 1. “Open Data Towards Open Government” conference by Electronic Government Agency (EGA), 12 November 2014 , Bangkok, Thailand Dimensions of Open Data Activities in Japan: Policy, Technology and Community Hideaki Takeda National Institute of Informatics takeda@nii.ac.jp Special thanks to Kenji Hiramoto, Executive adviser for CIO, Ministry of Economy, Trade, and Industry (METI) Fumihiro Kato, National Institute of Informatics/Linked Open Data Initiative Iwao Kobayashi, Linked Open Data Initiaitive
  • 2. Profile • Professor, Informatics Principle Research Division, National Institute of Informatics (NII) • Professor, Graduate University for Advanced Studies (Sokendai) • Member, Committee of open government data, Cabinet secretariat • Deputy Chair, Technology WG, Open data promotion consortium, Sponsored by Ministry of Internal Affairs and Communications (MIC) • Former member, IT Fusion Forum - Public data WG, Ministry of Economics, Trade, and Industry (METI) • President, Open Data Initiative Inc.
  • 3. The beginning of the beginning
  • 4. Transition of Japanese IT Strategy 2001– 2006– 2009 E-Japan Strategy II (July 2003) New IT Reform Strategy (Jan2006) E-Japan Strategy (Jan 2001) Achieve an IT country on the cutting edge of the world by 2005 Achieve a society where anyone, can feel the benefits of IT anytime and anywhere in 2010 2010 i-Japan Strategy 2015 (July 2009) Strive to create a citizen -driven reassuring & vibrant digital society A New Strategy in IT (May 2010) Achieve transition to a citizen-driven society and a true knowledge -information society 2013 ~2020 Declaration to be the World’s Most Advanced IT Nation(June 2013) Achieve an IT country on the cutting edge of the world by 2020 Emphasis on IT utilization Driving forward the IT structural revolution Development of broadband infrastructure The benefits of digital technologies for all Establishment of a new society where the citizens hold sovereignty Eliminating Gridlock and Rejuvenating Japan 4
  • 5. e-japan, e-japan II, i-japan, … • A lot of works are done, but many do not work as expected • One-stop service • Personal number card • Patent DB • … • Why? • SE Vendor lock-in • Sectionalism • Public support
  • 6. 3.11 The Great East Japan Earthquake
  • 7. Damage & confusion, then process of recovery
  • 8. Sinsai.info: GIS based disaster information • ”Sinsai.info” was voluntarily launched only four hours late after the earthquake Ushahidi • GIS & disaster supporting information as well as damage status. • Lifeline status, relief supply & shelter information, volunteer information, and medical facility information etc. with locations and details are available on the map Icons are displayed on the map. Zoom into the local area for detail information. All Categories Accurate Information Lifeline Status Transportation Relief Supply Shelter Request for volunteers Medical Facility Employment Information
  • 9. Traffic and Road Closure Information after the earthquake • ITS Japan provides traffic and road closure information provided by GIA(Geospatial Information Authority) and four private films. • Honda, Toyota, Nissan, Pioneer • Mapion and Isuzu provide truck traffic information. Traffic and road closure information Truck traffic information Blue points are traffic information. Red points are road closure points. Blue points are traffic information of big trucks. Green points are traffic information of small trucks. http://www.its-jp.org/saigai/ http://www.mapion.co.jp/feature/eq2011/traffic.html
  • 10. Information on Planned blackout 1.TEPCO showed information on the planned blackout with scanned PDF
  • 11. Information on Planned blackout 2.Someone transformed and published as csv. http://code.xenophy.com/?p=1323
  • 12. Information on Planned blackout 3.Someone published as application.
  • 13. Government and people realized the importance of open data
  • 16. Transition of Japanese IT Strategy 2001– 2006– 2009 E-Japan Strategy II (July 2003) New IT Reform Strategy (Jan2006) E-Japan Strategy (Jan 2001) Achieve an IT country on the cutting edge of the world by 2005 Achieve a society where anyone, can feel the benefits of IT anytime and anywhere in 2010 2010 i-Japan Strategy 2015 (July 2009) Strive to create a citizen -driven reassuring & vibrant digital society A New Strategy in IT (May 2010) Achieve transition to a citizen-driven society and a true knowledge -information society 2013 ~2020 Declaration to be the World’s Most Advanced IT Nation(June 2013) Achieve an IT country on the cutting edge of the world by 2020 Emphasis on IT utilization Driving forward the IT structural revolution Development of broadband infrastructure The benefits of digital technologies for all Establishment of a new society where the citizens hold sovereignty Eliminating Gridlock and Rejuvenating Japan
  • 18. Time Series: Open Government &Data Policies 2008 2009 2010 2011 2012 2008.10 Public Sector CIO Forum started discussion of open data 2009.3 Open Government Project Plan was announced 2009.10 Discussion-board “Idea box” was opened to solicit ideas from public. 2010.7 Demonstration site “Open Government Lab” was launched. Open Government 2011.7 “Setsuden.go.jp” was launched. Real data on the actual electricity usage was uploaded on the website, many voluntary applications were developed. 2011.10 Japanese character set (open data, API) was released. 2012.7 Open Data Initiative “DATA METI Plan” was created 2012.8 Under “IT fusion forum”, “Public Sector Information Working Group” was established  Rules for the use of PSI and other fundamental discussed by experts. 2013.1 “Open DATA METI」-βversion” was launched  First governmental data catalog site in Japan. Released public data in possession of METI. 2013.3 METI made proposal for open data policy to government open data council 2013.6 Report of the discussion at Public Data Working Group was released 2013 2012.1 “Recovery and Reconstruction Support Program Database” was launched  One-stop service site where users can search through a wide range of support programs by the central and local governments. 2013.12 Government Open Data site “Data.go.jp” was launched Open Data
  • 19. Action Plan for Open Government Infrastructure • Government infrastructure renovation • We will make an agile open government infrastructure by 2020. Services Government services, Private services Contents Web contents (Policy, News, Law, etc.) Data Catalog Governance Rule Go domain (Internet address) Code Vocabulary Character-set Citizen centric services ・Mush-up ・BPR ・Data science Standard based Infrastructure ・Core vocabulary-set Name, Address and Organization. METI will launch IMI DB. MIC will promote API project. ・Sustainable ・Design & Develop Standard Ministr y site Special site Private sector Acquisition, grant info. site Information Components ・Structured information ・Common tags ・Large quantity of information ・API Hardware/Middleware(Government Cloud) Before the action plan Independent services After the action plan Services on an architecture 2014-4-25 CIO Council
  • 20. What’s open data? • The massive volumes of diverse data in the possession of the public and private sectors is a source of completely new knowledge and in management resource. • The use of digitized data that leads to the creation of new industries and services as well as the invigoration of existing industries, businesses, and communities is a central for achieving growth. Open data are an untapped resource with huge potential to encourage the building of stronger, more interconnected societies that better meet the needs of our citizens and allow innovation and prosperity to flourish. G8 Open Data Charter OpenData is an enabler that will change social structure.
  • 21. Open Government Data Strategy July 4, 2012 IT Strategic Headquarters, Japan (Director-General: The Prime Minister)
  • 22. Ⅰ. Significance and Objectives The significance and objectives of promoting the use of public data are set forth below (1) Enhance Transparency and Confidence ・Raise the transparency of government ・Build confidence in government by the public Promote Participation by the Public and Collaboration between the Public and Private Sectors (2) ・Rapidly and efficiently provide public services that make use of creative innovations ・Respond to the diversification of needs and values. (3) Economic Stimulus and Higher Efficiency in Government ・Provide stimulus to the entire economy of Japan ・Increase the efficiency of advance operations by the national and local governments
  • 23. Ⅱ. Basic Direction 1. Fundamental Principles The fundamental principles concerning measures for promoting the use of public sector information in Japan are set forth in (1) through (4) below: (1) Government shall actively release public data. (2) Public data shall be released in machine-readable formats. (3) The use of public information shall be encouraged whether for commercial or non-commercial purposes. (4) Specific measures shall be taken such as the prompt disclosure of public data that can be released and results shall be steadily accumulated. 2. Public Data Subject to Measures Measures will be taken first with respect to data in the possession of the government (excluding information not suitable for public release such as information relating to security), and the measures will be expanded to independent administrative institutions, local governmental bodies, public utilities, and so on. 3. Collaboration with the Private Sector and Local Governmental Bodies From the perspective of encouraging the use of public data through various means that take advantage of creative innovations, the government will collaborate fully with the private sector and local governmental bodies.
  • 24. Ⅲ. Specific Measures 1. Promoting the Use of Public Data • The MIC and the METI will implement trial programs as set forth in (1) through (3) in collaboration with government ministries, independent administrative institutions, local governmental bodies, and the private sector. (1) Identification of Public Data Use Needs By conducting investigations in collaboration with the private sector and holding service development contests and so on, public data use needs will be investigated and analyzed and issues concerning current use will be examined and organized. (2) Examination and Organization of Issues Relating to Current Data Provision Methods Issues will be examined and organized through trial projects, surveys, and research in order to create the rules necessary for the use of the public, develop data catalogs, and promote standardization of data formats and structures. (3) Development of Private Sector Services By conducting investigations in collaboration with the private sector and holding service development contests and so on, examples of service development by the private sector using public data will be accumulated.
  • 25. Ⅲ. Specific Measures 2. Development of Environments for the Use of Public Data • The Cabinet Secretariat will obtain the cooperation of relevant ministries and develop the following environments for the use of public data. (1) Creation of Rules Necessary for the Use of Public Data Rules necessary for the use of public data will be created with respect to the handling of copyrights at the time of disclosure of data by government ministries, use conditions, rules on access from machines, allocation of responsibilities between users and providers, and handling of confidential information (2) Development of Data Catalogs Data catalogs that collect metadata including summaries and data formats will be developed with respect to data that is available for secondary use (3) Promotion of Standardization of Data Formats and Structures Standardization concerning data formats and structures and methods of prevention will be promoted and manuals and support tools will be developed to enable machine reading and collaboration and searches among multiple agencies and fields (4) Investigation of Support to Provider Agencies Investigation and organization of the issues concerning reviews of operational procedures suitable for the provision of public data by provider agencies and fees relating to the provision of public data and of feasible policies will be conducted from the perspective of providing support to agencies that provide public data.
  • 26. Ⅳ. Implementation Structures Implementation Structures : • The Cabinet Secretariat established a committee of open government data from the public and private sectors as the body for implementing open data policies (1) Investigation of fundamental matters including the development of environments for the use of public data; (2) Investigation of policies to be implemented in the future and adoption of a roadmap; (3) Review and follow-up on policies. Committee of open government data (Cabinet secretariat) IT Fusion Forum - Public data wg. (METI) Open data promotion consortium (Sponsored by MIC) METI:Ministry of Economy, Trade and Industry MIC:Ministry of Internal Affairs and Communications
  • 27. Open data team • Cabinet Secretariat reviews all projects in terms of comprehensive coordination of basic direction of policies and measures for open data. Committee of open government data (Cabinet secretariat) Data working group Rule working group IT Fusion Forum - Public data wg. METI:Ministry of Economy, Trade and Industry MIC:Ministry of Internal Affairs and Communications (METI) Open data promotion consortium (Sponsored by MIC) Report Roadmap Guideline Etc. Ministries NPO Industries Output Members
  • 29. Technology requirements • Use technology such as • the state-of-the-art • Standard (de jure / de facto) • Global cooperation • Work with • academia • (hacker) community
  • 30. Standards • License • Creative Commons (CC0, CC-BY, CC-BY-SA) • Repository • CKAN • Github • LOD • RDF, RDFS, OWL • SPARQL • Schemata • Dublin Core, foaf, SKOS, Data Cube … • Ontology • We can share tools, knowledge and users all over the world with standards Don’t reinvent the wheel! Share!
  • 31. Technology-oriented NPOs Open Knowledge Foundation Japan
  • 32. Commitment of academia people • NPOs are run mainly by academia people • Government activities also involve academia people • In particular, Semantic Web people have committed to open data activities from the very beginning!
  • 33. What is Open Data • “A piece of data or content is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and/or share-alike.” http://opendefinition.org/
  • 34. Data is not product, rather raw materials Free to use Free to re-use Free to distribute ん
  • 35. Requirement for Open Data • Open License • Machine-readable format
  • 36. Open License • License which allow to use openly with the very limited requirements CC0 Public Domain CC BY Attribution CC BY-SA Attribution -ShareAlike CC BY-NC Attribution -NonCommercial CC BY-ND Attribution -NoDerivs CC BY-NC-SA Attribution -NonCommercia l-NoDerivs CC BY-NC-ND Attribution -NonCommercial -ShareAlike All rights reserved CC license With some rights Open License
  • 37. Machine-readable format • Re-usability • One can cut and paste contents • One can edit contents with programs • With proprietary program-readable F. • With open format • Linkable like Web
  • 38. 5 ★ Open Data link your data to other data to provide context use non-proprietary formats (e.g., CSV instead of Excel) make it available as structured data (e.g., Excel instead of image scan of a table) make your stuff available on the Web (whatever format) under an open license (e.g., jpeg, pdf) use URIs to denote things, so that people can point at your stuff
  • 39.
  • 40.
  • 41. e-Stat (Ministry of Internal Affairs and Communications ) • The Portal Site of Official Statistics of Japan, e-Stat (the "Site"), launched on 1st April 2008, delivers the one-stop service for official statistics of the Japanese government, which is pursuant to "the Optimization Plan of Business Processes and Systems of Statistical Surveys and related work" (Ministries CIO Council decision, 31 March 2006). Under the Optimization Plan, which is promoted by the Statistics Bureau, Ministry of Internal Affairs and Communications with collaboration of Ministries and Agencies, the Site aims to gather information from statistical departments of Ministries and Agencies, and provides general public with statistical data, schedule of release, etc. • The Site is managed and maintained by the National Statistics Center.
  • 42. Public Vocabulary Framework project • Infrastructure for Multilayer Interoperability (IMI) • Prepare a framework that enables exchange of data, primarily vocabulary sets. • Divide into two areas. • core and business domain • Unnecessary to reconvert exiting systems. • International interoperability • Utilize existing standards as much as possible. Applications Share, Exchange, Storage (Format) Vocabulary IMI Citizen ID Enterprise ID Character-set Japanese Local government Standard (APPLIC) IMI Defact Standard (DC, foaf, etc) NIEM (US) ISA (EU) Schema.org International interoperability is highly considered in preparing IMI. Primary considerations: vocabulary sets used in Japan and existing standards
  • 43. Vocabulary structure of IMI • IMI consists of core vocabulary, cross domain vocabulary and domain-specific vocabularies. Hospital Core Vocabulary Core Vocabulary Universal vocabularies that are widely used in any domain. Eg) people, object, place, date. Domain-specific Vocabularies Vocabularies that are specialised for the use in each domain. Eg) number of beds, Schedule. Shelter Location Station Disaster Restoration Cost Cross Domain Vocabulary Key vocabularies among domain-specific vocabularies that are referenced in other domains. Eg) hospital, station, shelter. Geographical Space /Facilities Transportation Disaster Prevention Finance Cross Domain Vocabulary Domain-specific Vocabularies
  • 44. Image of IMI vocabulary • Vocabulary set and Information Exchange Package are defined in trial area. 項目名英語名データタイプ項目説明項目説明(英語) キーワードサンプル値Usage Info 人PersonType 氏名PersonName PersonNameType 氏名Name of a Person - 性別Gender <abstract element, no type> 性別Gender of a Person - Substitutable Elements: 性別コードGenderCode CodeType 性別のコードGender of a Person 1 APPLIC標準仕様V2.3 データ一覧 住民基本台帳:性別 引用 性別名GenderText TextType 性別Gender of a Person 男 現住所PresentAddr ess AddressType 現住所- 本籍AddressType 本籍- … … … … … … … … … … … … … … … … … … 項目名(Type/Sub-properties) 英語名データタイプ… 氏名PersonNameType 氏名FullName TextType フリガナTextType 姓FamilyName TextType カナ姓TextType … … … AED Location Address LocationTwoDimensional GeographicCoordinate Equipment Information Spot of Equipment Owner Business Hours Access Availability User Day of Installation Homepage AED Information Type of Pad Expiry date Contact Type Model Number Serial Number Photo Note Information Source Sample 1 : Definition of vocabulary Sample 2 : Information Exchange Package
  • 45. Government IMI project 1st Step • 3 major Core vocabulary will be recommended as exchange model. • Person, Location and Organization are priority area. There are many application forms and databases in government. IMI Core Vocabulary 2nd Step • Establish a rule for cooperation with the existing vocabulary. Applicati on Form Database Applicati on Form Database Applicati on Form Database Person Location Organization Recommendation METI will make a vocabulary database. MIC will make API for Open data prototype infrastructure.
  • 47.
  • 49. Yokohama Art Spot • Introduces local information on art in Yokohama. • Uses three different LODs as data sources. LODAC Museum × Yokohama Art LOD × PinQA Museum Collection Local Information Q&A http://lod.ac/apps/yas/
  • 50.
  • 52. Overview of the System • Map view • Institution view • Administration view
  • 54. 育なび.net (ikunabi.net or child-care.net) Nursery school data Vacancy Data of nursery school Medical institution data disaster prevention data Others Originally data is written by EXCEL Translation to RDF RDF Store Database SPARQL response Web server Browser
  • 55. 育なび.net (ikunabi.net or child-care.net) Data about safety evacuation area Data about park Data about parking Data about gym equipment
  • 56. Where Does My Money Go? • “Where Does My Money Go?” show you your tax. Over 150 cities in Japan UK model Japan model
  • 57. Fix my street • Report, view and discuss local problems Report Solved Local governments Smart phone Submit report Report Detail Information
  • 58. Dark Bright Street map • Local government provides the data of streetlamps. • NGY Night street advisor • Street lamp information (100,000) + Google map • Navigation function. Safety route!
  • 60. Information publication (before open data) Public Sector citizen Info. Publication - Required data - Required method Request Frustration to respond lots of requirements Frustration for no or lazy response
  • 61. Information sharing as open data Third party = citizen, programmers, and cooperates Public sector citizen Share of requests Just focus on data Translate/integrate/ mashup for required methods)へ
  • 62. Lots of hackathons, ideathons, un-conferences
  • 66. 30 cities in 2014! http://opendataday.org/
  • 67.
  • 68.
  • 70.
  • 71. Summary • Policy X Technology X Community made a good inertia • The beginning is OK, but how can we continue? • Challenges • Involve more people • Start more business • Evolve technology • Change administration/society systems Policy Technology Community

Editor's Notes

  1. 4
  2. 16