Presentation at #odrs2016 alongside #iodc16 Full research paper: https://drive.google.com/file/d/0B4TpC6ecmrM7Ny1LQlNpMEVIMVk/view All papers linked here: http://odresearch.org/agenda.html

1. 2016 Open Data Research Symposium
5 October 2016, Madrid, Spain
Researching the economics
of data to help governments
make better choices
Open Data Institute
@ODIHQ
theodi.org
Peter Wells
@peterkwells

2. There is substantial economic
evidence for open data, yet many
core datasets remain unavailable.
@odihq @peterkwells

3. How do we help governments
make the decision to open up this
data?
@odihq @peterkwells

4. What do we already know?
What do we need to know?
What can we learn next?
How can we use what we learn
(and learn from using it)?
@odihq @peterkwells

5. Macroeconomic studies
@odihq @peterkwells

6. Microeconomic studies
@odihq @peterkwells
● US Landsat satellite data
● Danish address data
● Transport for London
● ONTSI study on Spanish transport
● Arup study on transport services
● ODI “open data means business”
● ODI/Nesta open data challenge series
● &c. &c. &c.

7. Case studies
@odihq @peterkwells
• 84% of Americans with a
smartphone have used open
data (Pew research)

8. The value of open data is
proven.
@odihq @peterkwells

9. Conceptual models.
@odihq @peterkwells

10. Data is infrastructure.
@odihq @peterkwells

11. https://www.flickr.com/photos/pkwflickr/6188760566/in/album-72157627764211574/
Roads help us navigate to a location.
Data helps us make a decision

12. Core datasets are highways
on our data infrastructure.
@odihq @peterkwells

13. Data infrastructure underpins
transparency, accountability,
public services, business
innovation and civil society.
@odihq @peterkwells

14. Data infrastructure includes
datasets, technology,
processes and organisations.
@odihq @peterkwells

16. @odihq @peterkwells

17. How does the value created
by data change as we publish
it at different points on the
spectrum?
@odihq @peterkwells

18. 0.5% GDP difference if core
assets are open rather than
shared.
(Lateral Economics 2016)
@odihq @peterkwells

19. Who benefits?
@odihq @peterkwells

20. Most of the benefits created
by open data are received by
service users.
(Lateral Economics 2016)
@odihq @peterkwells

21. Core datasets are often
available under paid licences.
@odihq @peterkwells

22. Data publishers need to
replace this funding.
@odihq @peterkwells

23. Some of the value received by
service users will be received
by governments as tax
revenues.
@odihq @peterkwells

24. In 2014 this could have been
£3bn of additional tax revenue
in UK.
@odihq @peterkwells

25. What about your country?
@odihq @peterkwells

26. This creates a sustainable and
viable funding model for open
data.
@odihq @peterkwells

27. There are still gaps in this
thinking....
@odihq @peterkwells

28. There are always gaps in
thinking 
@odihq @peterkwells

29. Private sector data. Business
models. Developing countries.
Time to realise value. GDP does
not recognise all value of digital
services. Personal data, trust and
ethics. (& ?)
@odihq @peterkwells