Open Data Framing Amsterdam
Smart City Event 2014,14th May 2014, Amsterdam
Katalin Gallyas
Open Innovation Policy
Advisor
@KatalinG
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 launched
so far by cities.
Connected
24 hours
Focus: opening of a massive amount of data YES
External promotion of data-hackathons YES
NOT YET or LIMITED:
-Big Data Strategy
-Meaning behind data (visualization, mining)
-Interoperability of open data based apps
-Civic App Store
Injecting Open Data best
practices through EU projects to
cities (Amsterdam case)
1. EU Open Data Fueling Project: Code for Europe-
WORKING WITH CODERS
Code for Europe: Civic Apps & Commons
The First Civic App Store in Europe launched
3. EU Data Project: City SDK (service development toolkit)
HARMONIZED INTERFACES for CIVIC APPS,
USE OF API’s
TOURISM : EXPERIMENTATIONS WITH SENSORS
Tourist’s movements in cities
Our Open Data Portal (CKAN based)
• Strong SME’s, hackers’, coders
• Business Accelerators
• Innovation Intermediaries >>
• EU Projects
• Open minded Local Gov
• Participatory citizens
Amsterdam – Strong Open Data Ecosystem partners
Complementary Ecosystem Partners
Innovation
Intermediaries
ICT tools,
Funding, community
Transport Data Push
Cultural API demonstrator
• 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 App Developers
Appsterdam- 2600 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. Be careful with corporate Big Data providers
5. Encourage cities to move toward Commons, peer
reviewed open data vendors
Open Data Observations
6. Fresh injections of most state of art ICT solutions, trends
(GitHub repositories, Open Source visualization tools) into
city halls
7. Introducing the concept of “Commons”, “Standards”,
“civic coders”, “hackers”, “tech grassroots”
8. Diving into an exclusive Open Data Catalysts- Smart Cities
network (Enoll, World Bank, OKF, ODI, Future Cities
Catapult, NESTA)
9. Promote interoperable app interfaces/sharing
Strong Open Data lobby needed:
>>KEEP EYES WIDE SHUT<<
-extern financing
-entrepreneurship & freedom for
experimentations
-create Open Data ecosystem in your city (label)
-Capture chances on Horizon2020, EUROCITIES
partner finding
But most important lesson learnt for cities
>>BE INTERNALLY INVINCIBLE<<
-Build distributed internal capacities,
Knowledge around Open Data
Tools, standards
-Cities are vulnerable on the Big Data market
without a solid knowledge
Thank you!
Katalin Gallyas
gallyas@ez.amsterdam.nl
@katalinG

Open data round table talk 13 may

  • 1.
    Open Data FramingAmsterdam Smart City Event 2014,14th May 2014, Amsterdam Katalin Gallyas Open Innovation Policy Advisor @KatalinG
  • 2.
    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
  • 3.
  • 4.
    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?”
  • 5.
    Current open datacatalysts (non-proprietary*)
  • 6.
    Current open datacatalysts (proprietary*)
  • 7.
    Quest for OpenData Impact, Evidences
  • 8.
    Precarious Open DataPolicies launched so far by cities. Connected 24 hours Focus: opening of a massive amount of data YES External promotion of data-hackathons YES NOT YET or LIMITED: -Big Data Strategy -Meaning behind data (visualization, mining) -Interoperability of open data based apps -Civic App Store
  • 9.
    Injecting Open Databest practices through EU projects to cities (Amsterdam case)
  • 10.
    1. EU OpenData Fueling Project: Code for Europe- WORKING WITH CODERS
  • 11.
    Code for Europe:Civic Apps & Commons
  • 12.
    The First CivicApp Store in Europe launched
  • 13.
    3. EU DataProject: City SDK (service development toolkit)
  • 14.
    HARMONIZED INTERFACES forCIVIC APPS, USE OF API’s TOURISM : EXPERIMENTATIONS WITH SENSORS Tourist’s movements in cities
  • 15.
    Our Open DataPortal (CKAN based)
  • 16.
    • Strong SME’s,hackers’, coders • Business Accelerators • Innovation Intermediaries >> • EU Projects • Open minded Local Gov • Participatory citizens Amsterdam – Strong Open Data Ecosystem partners
  • 17.
  • 18.
  • 19.
    Cultural API demonstrator •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
  • 20.
  • 21.
    Community App Developers Appsterdam-2600 developers have joined up
  • 22.
    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. Be careful with corporate Big Data providers 5. Encourage cities to move toward Commons, peer reviewed open data vendors
  • 23.
    Open Data Observations 6.Fresh injections of most state of art ICT solutions, trends (GitHub repositories, Open Source visualization tools) into city halls 7. Introducing the concept of “Commons”, “Standards”, “civic coders”, “hackers”, “tech grassroots” 8. Diving into an exclusive Open Data Catalysts- Smart Cities network (Enoll, World Bank, OKF, ODI, Future Cities Catapult, NESTA) 9. Promote interoperable app interfaces/sharing
  • 24.
    Strong Open Datalobby needed: >>KEEP EYES WIDE SHUT<< -extern financing -entrepreneurship & freedom for experimentations -create Open Data ecosystem in your city (label) -Capture chances on Horizon2020, EUROCITIES partner finding
  • 25.
    But most importantlesson learnt for cities >>BE INTERNALLY INVINCIBLE<< -Build distributed internal capacities, Knowledge around Open Data Tools, standards -Cities are vulnerable on the Big Data market without a solid knowledge
  • 26.