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Patterns, lessons from Open Data around Europe, and a look at what it may mean for the future.
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A Visionary View on the Future of PSI: the Big Picture on Open Data.
Or: some patterns, thoughts and ideas
Ton Zijlstra, @ton_zylstra
http://www.flickr.com/photos/fredarmitage/1057613629/
“the future is already here”
“it’s just not very evenly distributed”
Lessons from…
Enschede
Amsterdam
European Commission
World Bank
Province North-Holland
Leeuwarden
emerging patterns
Province Utrecht
Schiedam
European Space Agency
High Court of Audit
Min Interior
Min Economics
Dutch base registers
Danish base registers
Moldovan gov
Heerlen
Flemish Chancellary
Min Housing (DK)
Min Fin (DK)
ePSIplatform
LAPSI
Kyrgyzstan
Kazachstan
http://www.flickr.com/photos/59937401@N07/5858059202/
DK addresses 2010: value > 70 * cost
ETLA, SME’s geo data grow 15% faster
Spain 2011/12, up to 600 million Euro
POPSIS 2012, 21 cases
Vickery / EC 2012, 2% GDP EU
McKinsey 2014, $3 trillion+
See „Open Data for Economic Growth” (WB, june 2014)
all empirical evidence points same way
the first 1B+ open data exit?
You are here
a European market, not just a Belgian one
are we looking in the right places?
http://www.flickr.com/photos/ringroadproductions/144808172/
„We’re not an open data company”
costs 500k? or yields 3M5 & 100 jobs?
four valuable reasons
more efficient government
better public services
more transparent government
new socio-economic value
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efficiency? effectiveness? economic value? all!
mostly useless metrics
70B items / month (fb)190M / day (t)3k / min (fl)17M items (wpedia)100hrs / min (yt)
http://www.flickr.com/photos/jasonahowie/8583949219
‘if FB were a country’1,1B
http://www.flickr.com/photos/marc_smith/6785112263
interesting metrics are about interaction
OPENdata
openDATAvs
new actors (500 apps, 5k ppl, TfL stopped)
(policy) problem
new ways
value, efficiency, impact
building the triangle of new connections
important issue
stakeholders open data
‘safe data’ is a seductive dead end
seriousissues
seriousdata=
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beware
What, but not why What gov knows, what gov does Evidence based: correlation / causation Direct re-use vs proxies Pre-hypothesis tool: q’s, context, experiments
How to
Costs too much; What’s the business case; Has commercial value; Possible privacy issues; Confidential info; It’s not ours, and we don’t know who owns it; It’s not ours and supplier won’t allow it; The quality isn’t very good; We don’t know where it is; Not our job; It’s in a useless format anyway; I don’t have the authority; People will misuse the data; People will use it wrongly; Only we understand our data; We’ll get sued; Files are just too big; Too little bandwith; It starts with this, but where’s the end? It’s there, but can’t be opened; Data is dated/too old; It’s not in digital format; Is this even legal?; Our Minister says no; We never have done this before, why start now?; I don’t see the use; Nobody will be interested; No time; No resources; Just do FOIA requests; We’ll publish it redacted; It’s not complete; It contains errors; It’s commercially sensitive; Combining this with other data is dangerous; People will come to wrong conclusions; People will get lost and confused; It will trigger endless discussions; We can’t confirm or deny we have that data; We’ll get feedback, and can’t handle that; Our IT supplier says it’s not possible; Our IT supplier will charge too much; Our site will crash; It’s already online! (but in unfindable PDFs); If people download it and use it later it will be outdated; I can’t take responsibility for all the reuse; People will get angry; Our data is in contradiction to the data of the department that is in charge of the topic; Only we truly understand.....statistics/meteo/geo/laws; We’ll disrupt the market; It will only be used to attack us.
many shades of ‘no’
real barriers: it’s a transitionSee http://www.flickr.com/photos/epsiplatform/5737203950/
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top
bottom
middle
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top down leadership
Networked life, networked work, networked learning
know the gov does not exist. find 1 civil servant
bottom up trailblazing
iinformality important ingredient
30
middle
middle out organizing
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instrument
intervention&
treating openness as an incident
#pnhslim
• Texel• Hollands Kroon• Heerhugowaard• Purmerend• Velsen• Haarlem• Medemblik• Den Helder• Schagen
• tourism• real estate• neighborhoods• public spaces• flash floods• local entrepreneurs• school/elderly transport• disused shops• tbd
9 local communities & themes
#pnhslim
open data as intervention
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enablers
no instant usability
https://www.flickr.com/photos/cacophonyx/5128009885
No legal barriers
law, always a bit behind
https://www.flickr.com/photos/chesh2000/411763353/
July 2015, public = re-usable
the charge on charging
openness privacy&
Daniel Kaplan in 2010
IoT, sharing of and acting on data
http://www.botanicalls.com/graphics/kit/sparkfun/800/IMG_8581_800.jpg
https://secure.flickr.com/photos/opensourceway/5535034664
towards by default, by design
we’re just getting started
http://www.flickr.com/photos/toohotty/2675099789/
CreditsLAPSI 2.0 Keynote
Brussels 28 November 2014
Photos: all CC BY NC SA Ton Zijlstra, except where mentioned on photo (CC respective authors)
Slides: CC BY NC SA except where source stated downloads at http://slideshare.net/thegreenland
Ton Zijlstra, @ton_zylstra, [email protected]
