1. Open Data
The view from New Zealand
Laurence Millar
Share-PSI workshop
Brussels May 2011
2. Agenda
l Open data – what and why?
l NZ leadership
l NZ licensing
l NZ data catalog
l NZ community contribution
3. Open data
Data that is available in the “right” way:
ü Complete ü Machine processable
ü Primary ü Non-discriminatory
ü Timely ü Non-proprietary
ü Accessible ü Open reuse licence
Adapted from http://wiki.opengovdata.org/index.php?title=OpenDataPrinciples
5. Why should we free our data?
l People have funded the collection of the
data, and want/are entitled to access it
l Public access improves quality
l Marginal cost of distribution is minimal
l Agencies do not have the resources or the
innovative skills to respond to the variety of
needs/uses of the data
l Increases economic and public value
8. • Stimulate cultural, environmental, social
and economic growth
• Allow greater transparency of
government’s performance
Benefits • Promote private sector innovation
• Allow greater external participation in
government policy development
• Enable communities to build on existing
data to gain knowledge and expertise
and use it for new purposes
9. • Confusion around Crown copyright and
licensing
Why • Outdated policy settings
develop a • Agencies interested in Creative
Commons licences
common • Public and private initiatives opening up
licensing government data
• International developments in public
framework? sector information re-use
• NZ’s economic climate
10. NZ
• Guidance for State Services agencies
Government • covers both copyright and non-
Open copyright material that is:
• produced by or for these agencies
Access and and is appropriate for release to the
Licensing public or sections of the public; and
• which the agencies are entitled to
framework release for re-use.
(NZGOAL)
11. NZGOAL – licensing
Creative Commons Attribution BY licence is the
default licence preference for copyright (Crown
or ‘regular’ works)
12.
13. • Launched November 2009
• Pilot directory exposing existing
datasets
• 401 pages list datasets from 58
Data.govt.nz agencies
• New automated feed functionality
• Developing dataset demand
functionality
• To be evaluated July 2011