5. BERL worked with Philanthropy New Zealand to
deliver the “Giving New Zealand” report.
https://www.youtube.com/watch?v=ryDnYNeq
gSU
6. BERL also worked with Te Puni Kokiri. This is a
quote from Phil Coghini, Te Puni Kokiri:
“The Charities Services data is the best source (if not the only source) of financial
information that we have on Māori organisations that are registered charities. Also its site,
is flexible and open to enable anyone with the internet, to access a large chunk of their
database contents , and download into useful formats (e.g. csv or excel) for further data
manipulation and integration.
Te Puni Kōkiri, supplies this information to the Business and Economic Research Institute
(BERL) who uses this information source (amongst others) to help update the Māori asset
base and contribution to GDP statistics.
Also this helps reduce respondent burden, particularly for useful information that is
already accessible in the public domain (Charity Services).
I’ve been an advocate for data re-use and open data where this can be done: cost
effectively and efficiently, to help reduce respondent burden, help improve government
transparency of its services, saving tax payers monies and time, and help reduce
information asymmetry.
I believe the info from Charities Services is an excellent example of data re-use and
releasing open data.”
7. Alison Stringer
Ministry for the Environment
http://www.lawa.org.nz/
◦ Video
https://www.youtube.com/watch?v=4uUfZWE4P
yA
◦ + remaining slides…
11. council
telemetry
stations
sensors
…
Results/data to LAWA
LAWA data analysis
SOS 2.0
WaterML 2.0
Time-series data server
Internal council systems
for qa/qc and archival
of time series data
Eg. Hilltop, Kisters, Aquatic Informatics,
52North
request
response
SOS2and WaterML2 are internationally-based
Standard languages for asking a question to
a time-series data server, and for getting the
data back
Environment Reporting has a big work stream looking at
finding data for indicators developed in the Environment Reporting Framework, or
improving data methodology or representativeness
There will be funding implications …
Clearly this has links to the work of NEMAR (indicators, network design e.g., representativeness) and NEMS (standards)
(on NEMAR … the concepts from the NEMAR work are driving our thinking around representativeness. There is no current programme for implementation of those concepts. This work would fit in under the data improvements workstream)
LAWA: They are looking for help set next priority - … MfE’s priority is likely to be …