This is the Local Data Census presentation for the Ghent Smart City workshop on 09/10/2014, describing our efforts to determine the datasets used for the Belgian Local Data Census.
2. Open Definition
“Open means anyone can freely
access, use, modify, and share for any
purpose (subject, at most, to
requirements that preserve
provenance and openness).”
— http://opendefinition.org/
3. Smart City Definition
A city can be defined as ‘smart’ when investments in human and
social capital and traditional (transport) and modern (ICT)
communication infrastructure fuel sustainable economic
development and a high quality of life, with a wise
management of natural resources, through participatory action
and engagement. (Caragliu et al. 2009). To Gildo Seisdedos
Domínguez, the smart city concept essentially means
efficiency. But efficiency based on the intelligent management
and integrated ICTs, and active citizen participation. Then
implies a new kind of governance, genuine citizen involvement
in public policy.
— http://en.wikipedia.org/wiki/Smart_city
4. Chicken vs. egg
Local Open Data vs. Citizen Developers
To stimulate citizen development we need cities with Open Data
Hackathons / Data Dives / Etc…
To stimulate cities having Open Data we need citizen developers
Data stories / Local Data Census / Etc…
6. Conditions of Local Data Census!
• Data exists
• It’s Digital
• It’s publicly available
• It’s free of charge
• It’s online (URL)
• It’s machine readable
• It’s available in bulk
• It’s openly licensed
• It’s up-to-date
7. Problem
These are not the
datasets you are
looking for
You must find
your own balance of
datasets
9. Solution?
1. Host a live event to start the discussion.!
!
2. Host an online Wiki Survey. !
!
3. Finalise the discussion within our Open
Belgium community!
!
4. Implement this final list of datasets (±15) and
start incentivising cities and open data
enthusiasts to add datasets
10. Live Event
Before we started:!
6 topics
15 standard datasets
!
one hour later: !
8 topics
+environment
+infrastructure
26 datasets
+20 people
13. Involve our
ambassadors
• If these suggested datasets are found at local governments!
• Regardless of the size (city or small municipality)!
• Regardless of location within Belgium (regional differences)!
• With a good mix of easy and hard to obtain datasets!
• And a good mix between the different subjects or categories
Because we still needed to determine the top 15
We needed to know:
15. Final Stage
Invite all cities and open data enthousiasts to add their open
data efforts onto the Belgian Local Data Census.
16. Future?
Open Belgium Barometer of local, regional and federal open data efforts
— http://theodi.github.io/open-data-barometer-viz/
17. First Conclusions
about our crowdsourcing efforts
It takes a while to :!
• give shape to this process
• go through the whole process
But at the end you have:!
• relevant list of datasets
• better accountability
• bigger awareness