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Open Data Evolution in
Amsterdam
EUROCITIES WG Innovation,27 th Febr 2014, Utrecht

Katalin Gallyas
Open Innovation Policy
Advisor
@KatalinG
Open Data. Why?

Public sector staff recognize the importance of open
data, but many are unsure how to use it. (Guardian Research,
June 2013)
Open Data Controversial for Local Governments
Open Data chances are unrevealed
for governments.
Open Data Interpretation Illiteracy
but curiosity (something big,
exciting with Open Data is coming)
Who to choose? What to choose?
-Linked Data
-Data Visualization
-Data Mining are unexploited
Loc Gov need a helping hand and
collaboration on Open Data
Vendor Fusion
Vocabularies Policy Makers
“What is the evidence that
we should release
datasets?”
“How many start ups have
been created since we
launched the first datasets”
“Can Open Data repair a
market failure, inefficiency?”
Current open data catalysts (non-proprietary*)
Current open data catalysts (proprietary*)
Precarious Open Data Policies

• Opening, exchanging data between departments of
the city hall
• External: hackathons
still missing in Open Data scenario’s
-Big Data Strategy
-Meaning behind data (visualization, mining)
Connected
-Interoperability of open data based apps
24 hours
-Civic App Store
Injecting Open Data best
practices through EU projects to
cities
1. EU Open Data Fuel Project: Code for EuropeWORKING WITH CODERS
Code for Europe: Civic Apps & Commons
The Future - Commons
2. EU project: Open Cities
Open Data Cataloge : Nearly 400 datasets
Amsterdam – Strong Open Data Ecosystem partners

•
•
•
•
•
•

Strong SME’s, hackers’, coders
Business Accelerators
Innovation Intermediaries >>
EU Projects
Open minded Local Gov
Participatory citizens
Open Innovation
ICT tools,
Funding, community

Innovation
Intermediaries
Open Data Evolution in Amsterdam
• In 2010 hackers, innovation labs and SME’s, web
entrepreneurs requested the first datasets
• 28 datasets open in 2011
• Nearly 400 datasets open in 2014 (most popular geo and
transport data)
• 2010 – 0 euro budget
• 2013 – 1,5 M euro budget
• In 2013 Open Data Program – by Amsterdam Economic Board
• 3 EU projects that promote the value of Open Data
Best Practices Open Data
• 30 apps have been launched
(face recognition by portrays)
• High educational impact
• Positive PR for the museum
• Reach of new younger
target group
https://www.rijksmuseum.nl/api -110.000 high resolution
photo’s of the collection
Community: Appsterdam2600 developers have joined
up
Open Data Observations
•
•
•
•
•
•

Linked data & API , commitment from city halls
User feed-back on Open Data.
City Challenges with Open Calls, awards.
Reused codes between cities for better civic apps.
Value of data-mining, visualization
Beyond Opening Up -> Interpretation
Open Data Observations
1. Open Data Catalysts are strongly dependent on
external financing and networking - Liberate open data
agents!
2. Vocabularies match between policy makers and open
data catalyst
3. Produce user cases to discover the enormous
underexploited value of data
4. Watch out with corporate Big Data providers
5. Encourage cities to move toward Commons, peer
reviewed open data vendors
The Future
The Future
Smart Data Management
Procure services built on data smartly
Analyze, enrich and interpret data
Generate demand for datasets with high
market potential
Feed-back loop
Memories. 2011
Thank you!
Katalin Gallyas
gallyas@ez.amsterdam.nl
@katalinG

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Eurocities wg innovation utrecht

  • 1. Open Data Evolution in Amsterdam EUROCITIES WG Innovation,27 th Febr 2014, Utrecht Katalin Gallyas Open Innovation Policy Advisor @KatalinG
  • 2. Open Data. Why? Public sector staff recognize the importance of open data, but many are unsure how to use it. (Guardian Research, June 2013)
  • 3. Open Data Controversial for Local Governments Open Data chances are unrevealed for governments. Open Data Interpretation Illiteracy but curiosity (something big, exciting with Open Data is coming) Who to choose? What to choose? -Linked Data -Data Visualization -Data Mining are unexploited Loc Gov need a helping hand and collaboration on Open Data
  • 5. Vocabularies Policy Makers “What is the evidence that we should release datasets?” “How many start ups have been created since we launched the first datasets” “Can Open Data repair a market failure, inefficiency?”
  • 6. Current open data catalysts (non-proprietary*)
  • 7. Current open data catalysts (proprietary*)
  • 8.
  • 9. Precarious Open Data Policies • Opening, exchanging data between departments of the city hall • External: hackathons still missing in Open Data scenario’s -Big Data Strategy -Meaning behind data (visualization, mining) Connected -Interoperability of open data based apps 24 hours -Civic App Store
  • 10. Injecting Open Data best practices through EU projects to cities
  • 11. 1. EU Open Data Fuel Project: Code for EuropeWORKING WITH CODERS
  • 12. Code for Europe: Civic Apps & Commons
  • 13. The Future - Commons
  • 14. 2. EU project: Open Cities
  • 15. Open Data Cataloge : Nearly 400 datasets
  • 16.
  • 17. Amsterdam – Strong Open Data Ecosystem partners • • • • • • Strong SME’s, hackers’, coders Business Accelerators Innovation Intermediaries >> EU Projects Open minded Local Gov Participatory citizens
  • 18. Open Innovation ICT tools, Funding, community Innovation Intermediaries
  • 19. Open Data Evolution in Amsterdam • In 2010 hackers, innovation labs and SME’s, web entrepreneurs requested the first datasets • 28 datasets open in 2011 • Nearly 400 datasets open in 2014 (most popular geo and transport data) • 2010 – 0 euro budget • 2013 – 1,5 M euro budget • In 2013 Open Data Program – by Amsterdam Economic Board • 3 EU projects that promote the value of Open Data
  • 20. Best Practices Open Data • 30 apps have been launched (face recognition by portrays) • High educational impact • Positive PR for the museum • Reach of new younger target group https://www.rijksmuseum.nl/api -110.000 high resolution photo’s of the collection
  • 21.
  • 23. Open Data Observations • • • • • • Linked data & API , commitment from city halls User feed-back on Open Data. City Challenges with Open Calls, awards. Reused codes between cities for better civic apps. Value of data-mining, visualization Beyond Opening Up -> Interpretation
  • 24. Open Data Observations 1. Open Data Catalysts are strongly dependent on external financing and networking - Liberate open data agents! 2. Vocabularies match between policy makers and open data catalyst 3. Produce user cases to discover the enormous underexploited value of data 4. Watch out with corporate Big Data providers 5. Encourage cities to move toward Commons, peer reviewed open data vendors
  • 25.
  • 28. Smart Data Management Procure services built on data smartly Analyze, enrich and interpret data Generate demand for datasets with high market potential Feed-back loop