Open Data Endeavors in
Amsterdam
Open Data Days,19 th Febr 2014, Ghent

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*)
Quest for Open Data Impact, Evidences
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
Amsterdam – Strong Open Data Ecosystem partners

•
•
•
•
•
•

Strong SME’s, hackers’, coders
Business Accelerators
Innovation Intermediaries >>
EU Projects
Open minded Local Gov
Participatory citizens
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
Rijksmuseum API
Community: Appsterdam2600 developers have joined
up
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
Memories. 2011
Thank you!
Katalin Gallyas
gallyas@ez.amsterdam.nl
@katalinG

Ghent open data days 19 febr

  • 1.
    Open Data Endeavorsin Amsterdam Open Data Days,19 th Febr 2014, Ghent Katalin Gallyas Open Innovation Policy Advisor @KatalinG
  • 2.
    Open Data. Why? Publicsector staff recognize the importance of open data, but many are unsure how to use it. (Guardian Research, June 2013)
  • 3.
    Open Data Controversialfor 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
  • 4.
  • 5.
    Vocabularies Policy Makers “Whatis 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 datacatalysts (non-proprietary*)
  • 7.
    Current open datacatalysts (proprietary*)
  • 8.
    Quest for OpenData Impact, Evidences
  • 9.
    Precarious Open DataPolicies • 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 Databest practices through EU projects to cities
  • 11.
    1. EU OpenData 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.
    Amsterdam – StrongOpen Data Ecosystem partners • • • • • • Strong SME’s, hackers’, coders Business Accelerators Innovation Intermediaries >> EU Projects Open minded Local Gov Participatory citizens
  • 16.
    Best Practices OpenData • 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
  • 17.
  • 18.
  • 19.
    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
  • 20.
  • 21.