Dublinked Open Data SummitData Opens Doors

Open Data Nation SessionChartered Accountants Ireland, 47 Pearse Street, Dublin City, 7

May 2015

Tracey P. LauriaultProgrammable City ProjectTracey.Lauriault@NUIM.ie

@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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Outcomes

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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

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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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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/Tracey.Lauriault@NUIM.ie

@TraceyLauriault