1. 1
The Shift to {Open|Big|Linked} Data
Or, how I learned to stop worrying and love the data
Pia Waugh
Director of Gov 2.0 and Data
Technology and Procurement Division
Department of Finance
4. 44
Key Benefits to Community/Industry in Opening Data
Economic
• Creates opportunities for industry to value-add to government data
• New services, systems and industries
• New opportunities and innovation in industry, research, civil society
Accountability
• Visibility to government spending, projects, effectiveness, etc
• Increases incentive to follow evidence based approach
Better policy and programs
• Enables greater participation in policy planning and implementation
• More informed public → better decision making
• Improvements to data → better policy and decisions
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Key Benefits to the Public Service in Opening Data
• Efficiencies from proactively publishing common requests
• Cheaper and more modular services delivery
• Reduced regulatory burden through machine readable
data supporting compliance and automated reporting
• Better policy outcomes by leveraging cross-agency data
• More consistency & less duplication across government
• Improved opportunities to leverage innovation and
collaboration (citizens, industry, other depts)
• Opportunities to improve data quality through
verifiable public contributions
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Tips for ensuring benefits realisation of open data
• Adopt an approach of “data user and developer empathy”
• Data publishing built into your BAU
• Initial focus on data that supports you build capability
• Consume your own data APIs (apps, datavis, BI, etc)
• Ensure you consider:
• Quality – no one can use bad data, but perfect is enemy of the good
• Currency – is it up to date? How often is it updated?
• APIs – is it programmatically available?
• Publishing – have you provided supporting materials (taxonomies)?
• Discoverability – is it hosted or linked on data.gov.au?
• Reusability – have you tested it with data users?
• Licensing – Creative Commons By Attribution the default
• Automation wherever possible!
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Policies Components
APS policies in aggregate:
• Permissive copyright – CC-BY as the default
• Open by default, machine readable accessible data
• Support reuse and innovation
• More public engagement
• Better use of data for government policy and service development
States/Territories add:
• Procurement – open by design
• Reporting – dashboards
• Departmental strategies
• Declaration of Open Data
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Open Data Discovery Model
National
Map
Datavis Application
development
Analysis
& Policy
Value Creation
Discovery
Data
Full Discovery
New
Services
FIND
National
spatial index
(gov, private,
research)
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data.gov.au
Free, cloud, scalable API enabled platform for hosting government data.
Staged approach
1. Publishing (2013 – mid 2014)
Improving the functionality and ease of
publishing for agencies with training and
documentation
2. Value realisation (2014-2015)
Providing useful front end tools for data.gov.au
including data visualisation and analysis tools.
Publishing quality data a pre-requisite.
3. Data quality (2014-2015)
Looking at ways to provide agencies the ability
to accept iterative data improvements in a
verifiable way
Features
•Manual and automated publishing options
• API access to government data
• Easy to publish, download & interact
• Use cases and site|data|org analytics
• Data Request Site
• Metadata harvesting from gov data gateways
• National Map integration
• Data model registry
• Federated search for discoverability
In Planning
• 5 star quality plugin
• Selective crowdsourcing for updates
• League Table
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Other Data Projects
• Administrative
• Spatial
• Research data
• Imagery
• Sensor
• Realtime (eg Transport)
• Census/Statistics
• Cultural
• Data about government
• Fiscal
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Data Integration
• Challenging but great potential for improved policy/services.
• Unit record sharing is complex, raises privacy concerns.
• Unit record data is mostly useful to researchers, who have appropriate
mechanisms with legal, technical, ethical constraints to access such data.
• Data aggregated by common spatial boundaries is comparative across
datasets and over time.
• Unfortunately, data owners traditionally aggregate to boundaries that
constantly change (electorates, postcodes, etc).
• The Australian Statistical Geography Standard (ASGS) provides a
consistent set of spatial boundaries that can be mapped to other needs.
• Anonymisation on the fly APIs also provide mechanism for appropriate
public/agency access to unit record level data (e.g. ABS.Stat)
http://statistical-data-integration.govspace.gov.au/
https://toolkit.data.gov.au/index.php?title=Definitions#Types_of_data
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Open by Design – drawing a line in the sand
Building proactive publishing into:
• Systems
• Processes
• Procurement
• Planning
• Records management
Leveraging open data through:
• Public APIs
• Analysis tools and datavis
• Internal processes looking for external sources
• Existing databases!
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Some Challenges
• Education
• Legislative
• Culture
• Systems
• Privacy and anonymisation
• Reactive vs proactive
• Metadata/semantic context
• Too much data
• Real time vs historic
• Definitions and common references
• Limited skills and over specialisation
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New and Old Skills Required
• Publishing and Automation
• Project management, reporting
• Metadata/linked data
• API development and serving
• Plumbing between systems
• Analysis and statistics
• Policy development
• Data, info and policy visualisation
• Public consultation and engagement
• Online community management
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Support
• http://toolkit.data.gov.au is updated regularly. Recent updates include:
• How to automate data updates to data.gov.au with FME
• Improved information on how to clean data
• How to manage your own catalogue harvesting
• Government data landscape to identify projects of use
• Open Data Community Forum – soon to be moved to analyticsspace
• Talk to your colleagues across government(s)
• Other sources
• Communities of interest: Data Science Meetup groups, Data
Analytics Centre of Excellence, Linked Data Working Group,
National Statistical Service, etc
• GovHack Developers Kit: Become a data scientist in an hour, data
tools, APIs, datavis, spatial, mashup techniques, statistical
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Key Case Studies
• Publishing Budget 2014 Data Report
• Open data – Transforming the Provider / Stakeholder Paradigm
• On the Value of Open Roof Prints
• 100 years of patent and IP data released on data.gov.au
More available soon at http://toolkit.data.gov.au
Other Australian case studies/documentation
• SA Open Data Toolkit
• QLD Government Case Studies
• Victorian Government Showcase
• NSW Apps Showcase
• ACT examples
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The future is here....
And it is already widely distributed
http://www.flickr.com/photos/mr_matt/35688926
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Challenge #1: Collaborate
Challenge #2: Share
Challenge #3: Measure
Challenge #4: Play
Questions?
@piawaugh
@datagovau
data.gov.au
toolkit.data.gov.au