data governance for smart city management - itu.int · smart city management should put data...
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The 4th Asia-Pacific Regional Forum on Smart Sustainable Citiesand e-Government 2018
Mi Kyoung Park
United Nations Project Office on GovernanceDivision for Public Institutions and Digital Government
United Nations Department of Economic and Social Affairs
July 2018Thanh Hoa City, Vietnam
Data Governance for Smart City Management
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Outline of the Presentation
I. Data Governance Critical for Smart City Management
II. Data Governance from Perspective of City Administrators
III. Collaboration with All Stakeholders
IV. Complying with Laws and Regulations for Data Governance
V. Adapting the Data Governance to New Environment
VI. Policy Implications
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I. Data Governance Critical for Smart City Management
Data governance is…
“the overall management of the availability, usability, integrity,and security of the data employed in an enterprise.”
“the practice of organizing and implementing policies,procedures and standards for the effective use of anorganization’s structured/unstructured information assets.”
“the execution and enforcement of authority over themanagement of data assets and the performance of datafunctions.”
3http://www.datagovernance.com/defining-data-governance/
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I. Data Governance Critical for Smart City Management
Service delivery & surveillance using open and big data:
traffic control smart grid/waste management social media analysis security & predictive policing emergency response
Smart city management hinges on using big data anddata analytics for anticipatory governance and taking
preemptive actions.
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I. Data Governance Critical for Smart City Management
Data governance critical to safeguard the resilience ofICT infrastructure Public services must be delivered 24/7 with high
quality and stability and free from cyber attacks.
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I. Data Governance Critical for Smart City Management
Smart city management also relies on collaborationwith other stakeholders in data sharing and exchange
and smart applications.
Citizens: sharing information through social media
CSOs: sharing data on environment, disaster, etc.
Private sector: contract service providers for theoutsourced smart city services
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I. Data Governance Critical for Smart City Management
Data governance essential for building citizens’ trust ingovernment services
7Presentation by Mr. Sumana Rajarethnam, Inclusive Internet Index 2018 AnEconomist Intelligence Unit study on Internet inclusiveness (June 2018)
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I. Data Governance Critical for Smart City Management
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Increasing recognition on the importance of institutingdata governance for smart city management
Appointing Chief Data Officer (CDO) / Creating aseparate office/division on data governance
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II. Data Governance from Perspective of City Administrators
Three Dimensions of Data Governance
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Organization/People
Process
DataGovernance
Technology
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II. Data Governance from Perspective of City Administrators
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Holistic Approach to Data Governancefor City Government
Data collector,user andkeeper of
personal data
Datagenerator
Protector ofcitizenprivacy
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II. Data Governance from Perspective of City Administrators
Data governance is not just about data security andprivacy protection.
Data governance is more about the framework andprocess and about data standards and policies thatmanage availability, usability, integrity, and security ofthe data employed in the process of city management.
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II. Data Governance from Perspective of City Administrators
City-wide governance structurefor setting the policy and strategy throughout the informationlife cycle & consistent across all divisions and agencies for:
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• data collection/gathering• data classification• data processing• access control• data usage and analysis• data release• data security
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III. Collaboration with All Stakeholders
Importance of involving different stakeholders
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CityGovernment
Citizens
ITSector
CSOsContractual
ServiceProviders
Academia
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III. Collaboration with All Stakeholders
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City Data Exchange (Copenhagen) Private-public collaboration for a citywide marketplace for data exchange
- purchasing, selling and sharing data between all kinds of users in a citysuch as citizens, public institutions and private companies
https://cphsolutionslab.dk/en/what-we-do/data-platforme/city-data-exchange
https://www.hitachivantara.com
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III. Collaboration with All Stakeholders
Big Data Campus (Seoul)
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Collaborating with corporations, NGOs, academia, and citizens formore effective and innovative big data use and analysis
Dailylives ofcitizens
Big dataplatform
Big datacampus
Policy/Service
Inter-Connected
Analysis/Data Use
SocialInnovation
DataCollection
Collaboration Model of the Big Data Campus(Translated the diagram from: https://bigdata.seoul.go.kr/cnts.do?r_id=P120https://bigdata.seoul.go.kr/main.do
CivilSociety&
Seoul
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IV. Complying with Laws and Regulations for Data Governance
Compliance to the relevant laws and regulations at thenational and regional levels:
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European Union• General Data Protection Regulation (GDPR) – Effective May 25,
2018
Malaysia• e-Commerce Act of 2006• Electronic Government Activities Act of 2007• Personal Data Protection Act by 2010
ThailandIn the process of establishing new legislation on digital economy including:
• Computer-Related Crime Bill (amendment)• Personal Data Protection Bill• Cyber security Bill
Philippines• Cybercrime Prevention Act 2012• Data Privacy Act• Electronic Commerce Act in 2000
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IV. Complying with Laws and Regulations for Data Governance
Updating and complying with relevant regulations withregard to data collection, storage and usage for securingprivacy of citizens:
a. under the new legal frameworkb. with the changing digital environment
In the digital era, citizens are weak in protectingpersonal privacy; Government should put data privacyas a priority in designing strategy and deliveringservices in smart city management
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V. Adapting the Data Governance to New Environment
Data governance should be dynamic and reviewed onregular basis to adapt to new environment
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General legal framework is evolving
People are not consistent regarding data sensitivity for different sets of data
New technologies raise new challenges in data security and data protection
Smart city services are transiting to cloud infrastructure
Data are collected by commercial companies
Line between surveillance and service provision is blurry
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VI. Policy Implications
Smart city management should put data privacy first and take intoaccount of frontier technologies and new digital environment.
A holistic approach to data governance considering the multipleroles of city government is necessary.
Adopting the inclusive and collaborative data governance withpartnership and collaboration between governments and otherstakeholders is necessary.
It is essential to build up a city-wide data governance that bringsin all divisions/departments to enforce the data governance in aconsistent manner.
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VI. Policy Implications
City government should be prudential in outsourcing its digitalpublic services to third parties in the cloud environment andensure that the third-party users also comply to the same level ofsecurity standards set by government.
It is important to safeguard the resilience of ICT infrastructure toensure uninterrupted services to its citizens especially in times ofemergencies.
It is essential to build capacity and expertise of city governmentofficials and equip them to better adapt to the changing digitalenvironment.
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