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Open Data Endeavors in Amsterdam
Open Data Days,19 th Febr 2014, Ghent
Katalin GallyasOpen 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
Connected24 hours
• Citizens
+ Release-, Promote, Build Apps, RepositoryMissing part : Peer Reviewed Civic Apps, Sharing Commons
What else can help to stimulate local Open Data programs and
impact?
1. EU Open Data Fuel Project: Code for Europe
Code for Europe: Civic Apps & Commons
The Future - Commons
2. EU project: Open Cities
• Strong SME’s, hackers’, coders • Business Accelerators• Innovation Intermediaries >>• EU Projects• Open minded City Gov• Participatory citizens
Amsterdam – Strong Open Data Ecosystem partners
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: Appsterdam- 2600 developers have joined up
Open Data Observations1. Open Data Catalysts are strongly dependent on
external financing and networking (role for Enoll, Connected Smart Cities)- 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 providers5. Encourage cities to move toward Commons, peer
reviewed open data vendors
