Open Data: Bassetlaw’s Journey | Andrew Brammall | March 2015
Peter Bjørn Larsen - Öresund Smart City Hub
1. Øresund Smart City Hub &
Öresund Smart City Hub
International examples of Open Data Platforms
Project Manager: Peter Bjørn Larsen, Öresundskomiteen
Kick-off meeting for Big Data VIZ, Danish Design Center
Copenhagen March 12, 2013 1
3. The Global, European and national innovation
agenda
Focus on:
Ø Grand challenges
Ø Demand-driven innovation
• Role of the cities and data?
Ø Test and demonstration
• Role of the cities and data?
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5. BUT,…….
Ø How do we identify the demand (challenges)?
• Smart city approach concrete challenges
Ø How do we ensure innovative procurement/tenders?
• Knowledge in municipalities new technologies
Ø How do we form innovation partnerships creating
innovative solutions, regional growth and export
opportunities?
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6. Aim of the project
Ø Find the answers! – and test/create a model for a
permanent platform where we:
• Use the challenges related to sustainability goals in
the municipalities as a driver for economic growth
with focus on smart city solutions
• Create a common cross-border platform for
identifying opportunities for collaboration
• Data an important element
• Make the region a leading smart city test-bed region
for smart cities and ensure that the local
competences are used in full
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7. spurring innovation with
public sector data
A Creative Dublin Alliance project Supported and Powered by IBM Technologies
8. What is Dublinked?
An initiative of Dublin City Council, DunLaoghaire-Rathdown,
South Dublin, Fingal County Councils, and NUI Maynooth, as
part of the Creative Dublin Alliance, Launched 2011
Strong political backing!
An innovation network focussed on economic development
using public-sector data
A portal for the discovery of static and dynamic data about
the Dublin Region, from public and private sources.
A single-point-of-contact for new companies and users who
wish to engage with the public sector for data requests and
project proposals
9. What is Dublinked?
Dublinked
MNCs, SMEs
Independent
Academia,
DataStores SEARCH Public Sector,
Citizens
Federated DataStores, with a unified discovery engine
All data to be directly machine accessible (RDF, URI)
Usage supported by workshops and training events
10. Planning Data
Public sector data - A good place to start as the data is already
available
Committed person at the data provider is important
Two types og data (Open vs. Restricted)
In theory it should be easy, all 4 local authorities used the same
system and captured similar data.........
But,
It took at least 6 months to actually manage to produce a
common output format. Problems arose such as:
- projections
- export formats (eg: CSV vs SHP vs KML)
- same content but different titles
- different software versions causing problems
12. Dublinked – Activities
Ø Data Access and Requests
Ø Project Proposals and Partner Search
Ø Innovation Events and Thematic Workshops
Ø DubMeets Series
Ø Technical & Legal
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13. Lessons Learnt
Data quality is critical and is difficult to achieve
The process of releasing data from organisations is slower than one
would expect – often for perfectly valid reasons
The process of encouraging people to innovate with public-sector
data is equally slow – an education process
Database needs to be located in a neutral location
Unexpectedly many different forms of public sector data can offer
diverse opportunities for new businesses
Large interest from different types of regional actors