data, infrastructures and public policy
TRANSCRIPT
Dublinked Open Data SummitData Opens Doors
Open Data Nation SessionChartered Accountants Ireland, 47 Pearse Street, Dublin City, 7
May 2015
Tracey P. LauriaultProgrammable City [email protected]
@TraceyLauriault
Data, Infrastructures and Public Policy
1. Introduction
The Programmable City
• A European Research Council (ERC) and Science Foundation of Ireland (SFI) funding• SH3: Environment and Society
• Led by Dr Rob Kitchin, the Primary Investigator
• Based at the National Institute for Regional and Spatial Analysis (NIRSA)
• At the National University of Ireland Maynooth (NUIM)
MIT Press 2011 Sage 2014
Aim of the ERC project is to build off and extend a decade of work
that culminated in Code/Space book (MIT Press) with a
set of detailed empirical studies
Aim
Objectives
How is the city translated into software and data? How do software and data reshape the city?
Translation:City into Code
Transduction:Code Reshapes
City
THE CITYSOFTWARE
Discourses, Practices, Knowledge, Models
Mediation, Augmentation, Facilitation, Regulation
2. Data
Government Institutions
1.Agriculture, Food and the Marine2.Arts, Heritage and the Gaeltacht3.Children and Youth Affairs4.Communications, Energy and
Natural Resources 5.Defence6.Education and Skills7.Environment, Community and
Local Government8.Finance9.Foreign Affairs and Trade10.Health11.Jobs, Enterprise and Innovation12.Justice and Equality13.Public Expenditure and Reform14.Social Protection15.Taoiseach16. Transport, Tourism and Sport
• 130 Non Commercial State Sponsored Bodies (EPA, Marine Institute, SFI, RIA, Rail, OSI, Universities, Roads, etc.)
• 100+ State-sponsored bodies (Utilities, Irish Rail, IDA, Petroleum Corporation)
• 31 local authorities (3 are Dublin, 2 are City and Council)
• CSO, Archives, etc.
• Data Protection Commissioner, Ombunds person, Information Commissioner,
Data Collection
• Meet constitutional commitments & ensure adherence to regulation, treaties, directives
• Administer government institutions (budgets, performance indicators, audits, taxes, procurement)
• Output of program & service delivery (licences, PPS, registration, fees, )
• Census, maps, surveys, inventories,
• Investigation, research, development
Epistemic groups
Research Data
GovData
GeoDataPhysical Sciences
AdminData
Public Sector Data
Access to Data Open Data
Social Sciences
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VGICrowdsource
Citizen Science
Scientists, Cultural Institutions E-Government, CTOs
Socio-Technological Systems
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3. Infrastructure
Record Management
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Within institutions
Outcomes
•Economic•Environmental
•SocietalDecision Making
Analyzed/visualizeIntegrate
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Accessed
Within & Between Institutions
Institutional FrameworkAdministrationPolicyLawSkillsFinance
Technical Standards
Data integrationInteroperability
PreservationTransfer
Framework Data
GeodeticBase maps
Access Network
Web servicesCatalogsMetadata
Atlas
Infrastructure
Infrastructural Platform
• Comprehensive collection & sharing of authoritative data
• Search, discovery, access, & visualization tools built once & reused many times, search once and find everything
• Common web-based environment enabling data integration, analysis, & visualization to support informed decision-making
• Shared governance & management of geospatial assets and capabilities, through operational standards & policies 2014-…
http://www.nrcan.gc.ca/earth-sciences/geomatics/canadas-spatial-data-infrastructure/
geospatial-communities/federal
Infrastructure Principles
1.Open:
enables better decision making, the CGDI is based on open, barrier-free data sharing and standards that allow users to exchange data.
2. Accessible:allows users to access data and services
seamlessly, despite any complexities of the underlying technology.
3. Evolving:the network of organizations participating in
the CGDI will continue to address new requirements and business applications for information and service delivery to their respective users.
4. Timely:the CGDI is based on technologies and
services that support timely or real-time access to information.
5. Sustainable:is sustained by the contributions of the
participating organizations and broad user community and through the infrastructure’s relevance to these groups.
6.Self-organizing
the CGDI enables various organizations to contribute geospatial information, services and applications, and guide the infrastructure’s development.
7. User and community drivenemphasizes the nurturing of and service to a broad user community. These users, including Canadians in general, will drive the CGDI’s development based on user requirements.
8. Closest to sourcemaximizes efficiency and quality by encouraging organizations closest to source to provide data and services. Thereby eliminating duplication and overlap.
9. Trustworthyis continually enhanced to protect sensitive and proprietary data. The CGDI offers this protection through policies and mechanisms that enable data to be assessed for quality and trusted by users.
Source: : 2012, Canadian Geospatial Data Infrastructure Vision, Mission and Roadmap - The Way Forward
Attributes Infrastructure
Administrative responsibility
Organizational viability
Financial sustainability
Technological and procedural suitability
System security
Procedural accountability
http://www.oclc.org/content/dam/research/activities/trustedrep/repositories.pdf
Kitchin’s Data Assemblage
Attributes
Elements
Systems of thought
Modes of thinking, philosophies, theories, models, ideologies,
rationalities, etc.
Forms of knowledge
Research texts, manuals, magazines, websites, experience, word of mouth,
chat forums, etc.
FinanceBusiness models, investment, venture capital, grants, philanthropy, profit,
etc.Political economy
Policy, tax regimes, public and political opinion, ethical considerations, etc.
Govern-mentalities /
Legalities
Data standards, file formats, system requirements, protocols, regulations, laws, licensing, intellectual property
regimes, etc.Materialities
& infrastructur
es
Paper/pens, computers, digital devices, sensors, scanners, databases,
networks, servers, etc.
PracticesTechniques, ways of doing, learned
behaviours, scientific conventions, etc.
Organisations &
institutions
Archives, corporations, consultants, manufacturers, retailers, government agencies, universities, conferences, clubs and societies, committees and boards, communities of practice, etc.
Subjectivities &
communities
Of data producers, curators, managers, analysts, scientists, politicians, users, citizens, etc.
PlacesLabs, offices, field sites, data centres, server farms, business parks, etc, and
their agglomerations
MarketplaceFor data, its derivatives (e.g., text,
tables, graphs, maps), analysts, analytic software, interpretations, etc.
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Politi
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Finance
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The marketplace
Places
6. Final Remarks
Data Infrastructure
• Open data is an apéritif, stimulating the e-government community to manage and share its data assets/resources
• We are at the amuse-bouche stage, at the level of datasets within the public sector
• The conversation is getting good with e-government and administrators mingling with science, geomatics, statistics, becoming multi-sectoral, arguably missing some civil society spice and business pragmatism although innovation is the aim
• We are getting ready to have dinner together, but we still need the determine preferences, find and mix ingredients, get the chefs together in the kitchen, need a place to sit and enable the skilled staff to deliver and manage, need a convener or host, and we need to figure out how to pay
• Eventually we will share many meals, selected from any number of fine establishments, which will be underpinned by an invisible but robust, sustainable, fair, secure and well functioning global food system.
Q & A
Tracey P. LauriaultProgrammable City Project
http://www.maynoothuniversity.ie/progcity/[email protected]
@TraceyLauriault