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Open data master class keynote for roundtable of CIS countries, for the World Bank, in Astana, Kazachstan
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Open DataThe What, Why, and How in 50 examples or less
World e-Gov Forum, Astana, 6 October 2014
Anton Zijlstra, @ton_zylstra
hansjebrinker.com
impacts infrastructure, mobility, coastal defence, costs
http://hansjebrinker.com
&What it is
How to do
Why do it &
What it is
Data that is
Gathered for a public task !
Pro-actively published !
To be used by others
No legal barriers
Everyone has equal access !
Open licensed (PD, or attribution) !
No statement of interest !
No usage restrictions
No tech barriers
Open standards !
Findable !
In bulk and/or in pieces !
Raw and timely
No monetary barriers
Free of charge !
Marginal costs at most
untapped abundance
https://secure.flickr.com/photos/opensourceway/5535034664
by default, by design
Why do it
Market and civic domain !!!!!!!!!!!!!!!
Government domain !!!!!!!!!!!!!!!
There always was value in data
Government Data
Re-user 1
Re-user 2
Open Data
2: effect of ‘Open’ !- free or not? - - ∆ demand - Ev price !
- ∆ fiscal revenue > ∆ sales revenue ?
!OXFORD 2009 POPSIS 2011
1: Market value PSI !!!!!!!!!
PIRA 2000 (€95 B) MEPSIR 2006 (€ 37 B)
3: cost of ‘Open’ <<1% of costs
Market and civic domain !!!!!!!!!!!!!!!
Government domain !!!!!!!!!!!!!!!
Gov body 1 DataOpen Data
Government - Interaction w market/citizens changes
- Quality of data improves - Increased efficiency & effectiveness - public tasks shift (smaller, different)
Digitization has shifted that valueMarket
- Barriers to entry drop away
- market dynamics: chains change
- paradigm shift: from owning to using
Value looks different: - less lineair - not monetary - more equally spread - hard to measure - hard to correlate - but doable
four valuable reasons
more efficient government !
better public services !
more transparent government !
new socio-economic value
four valuable reasons
more efficient government !
better public services !
more transparent government !
new socio-economic value!
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
open data in the EU
four valuable reasons
more efficient government !
better public services !
more transparent government!!
new socio-economic value
various reasons, a transparant sector results
284 organisations, aidtransparency.net
http://www.flickr.com/photos/59937401@N07/5858059202/
economic value? transparency?
not my departments job!
four valuable reasons
more efficient government!!
better public services !
more transparent government !
new socio-economic value
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participatory budgeting
28
government is a strong re-user: 6.5m GBP saved
Denmark projects 26M+ Euro annual savings
BC #1 user, 33% of downloads
open data shows 200m GBP potential savings
four valuable reasons
more efficient government !
better public services!!
more transparent government !
new socio-economic value
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http://wiki.openstreetmap.org/wiki/File:Haiti_earthquake_damage_map.png
http://hot.openstreetmap.org/
allowing disaster response
http://www.theguardian.com/society/2013/mar/12/nhs-transparency-open-data-initiative
1000 less heart surgery deaths / year
https://secure.flickr.com/photos/76652722@N04/6878044757
pupil and elderly public transport: better = cheaper
Uganda: Open Data and Community Health Monitoring
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z 33% reduction in under-5 mortality
z 20% extra utilisation of out-patient services
z Significant improvements in: z Immunization z Waiting times z Absenteeism
source: Andrew Stott, World Bank
policy problem
new ways
four valuable reasons
more efficient government!!
better public services!!
more transparent government!!
new socio-economic value!
How to do
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
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middle
middle out organizing
where to start?
1 Core reference data
accessibility
49
2 Data people care about
cleaning up the country side
3 Data you care about
value, efficiency, impact
use open data as a policy instrument
policy issue
stakeholders open data
OPEN data
open DATAvs
serious issues
serious data=
55
create the ‚Viennese Waltz’
how to publish?
58
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<<1%
rule of thumb
60
how to change existing financing models?
https://secure.flickr.com/photos/alexjbutler/14953247679/
Who is to pay the bill? 5 options
Data setsRegistration+ updating
Delivery to users
Public sector
Private sector + society
Reporting fee
Registration fee
User fee
User fee
State
budget
Who is to pay the bill?
Data setsRegistration+ updating
Delivery to users
Public sector
Private sector + society
Reporting fee
Registration fee
User fee
User fee
State
budget➢Discourage use
➢Affect quality data
➢Discourage use ➢ govt pays govt ➢Admin costs
➢If there is a concrete return ➢If admin costs low
➢Discourage use ➢Miss out on value
Some Dutch figures on income key registers 2011 * 1 million euros
Registration fees
Public sector use
Private sector use
Own re-use activities
State budget Total
Buisness registers
67 6 42 5 - 120
Cadastral registers
130 15 35 30 - 210
Topogra-phical map
- 9,5 0,5 - 14 24
Adresses - - - - 4 4
Total 197 30,5 77,5 35 18 358
embedding into internal policy?
leadership commitment !
procurement procedures !
procurement contracts !
IT specs & change management !
policy plan writing !
project plan writing
https://secure.flickr.com/photos/driek/2938311931
internal policy addresses data holder concerns
Actief uitnodigend
community engagement?
http://www.flickr.com/photos/dhammza/492882480/
iinformality important ingredient
Issue driven
Tech drivenvs
shape your path, with others
Open Data Readiness Assessment (ODRA)
if you know why, you’ll see impact
http://www.flickr.com/photos/ringroadproductions/144808172/
CreditsOpen Data!
The What, Why, and How in 50 examples or less
Photos: all CC BY NC SA Anton Zijlstra, except where mentioned on photo (CC respective authors) !Slides: CC BY NC SA except where source stated downloads at http://slideshare.net/thegreenland
Anton Zijlstra, @ton_zylstra, [email protected]
