1. Open Data Strategy Amsterdam
Open Data Scotland
6th March 2014, Edinburgh
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. Striking facts
“While 72% of the interviewed civil servants understood that
open data would be very important over the next three
years, 78% did not know about specific government open
data initiatives or what their benefits would be.
….and 66% did not understand their personal role in
delivering the open data agenda.”
(Source: Open Data Policy Research, Guardian, June 2013)
5. Open Data Controversial for Local Governments
Open Data chances are
unrevealed for governments.
Because of ICT legacy focus,
Vendor- and Open Data
Interpretation Illiteracy
Who to choose? What to choose?
Huge range of non proprietary
and proprietary systems.
-ODP Open Data Partnership
-Open Data Institute
-Open Knowledge Foundation
6. 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?”
11. Precarious Open Data Policy – Shared Data
Connected
24 hours
Elements
-Awareness raising
-Intern data exchange
-Release new datasets
-App procurement
rationalization
-Not focused on Commons,
API’s
12. What else can help to stimulate
local Open Data programs and
impact?
27. Open Data Evolution in Amsterdam
• In 2010 hackers, innovation labs and SME’s, web
entrepreneurs requested the first datasets
• 28 datasets open in 2011
• >350 datasets open in 2014
• 2010 – 0 euro budget
• 2013 – 1,5 M euro budget –EU
• 2014- lobby for 1 M eur local resources and many EU project
bids
• From 2013 Open Data Program – by Amsterdam Economic
Board
28. • Awareness creation about the ‘treasures behind open
data’
• Agenda setting in Open Data Local Governance (in
Ams now budget allocation for hiring 4 full time
employee)
• Bringing evidences , user cases on interoperable and
non-proprietary smart open data solutions
Spin-off effects of the EU demonstrator projects
29. • Fresh injections of most state of art ICT
solutions, trends (GitHub repositories, Open Source
visualization tools) into city halls
• Introducing the concept of
“Commons”, “Standards”, “civic
coders”, “hackers”, “tech grassroots”
• Diving into an exclusive Open Data Catalysts- Smart
Cities network (Enoll, World Bank, OKF, ODI, Future
Cities Catapult, NESTA)
Spin-off effects of the EU demonstrator projects
30. Strong Open Data lobby needed:
-extern financing
-entrepreneurship & freedom for
experimentations
-create Open Data ecosystem in your city (label)
-Capture chances on Horizon2020, EUROCITIES
partner finding
31. 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
39. Open Data Observations
1. 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 providers
5. Encourage cities to move toward Commons, peer
reviewed open data vendors