At the first community of practice hui, interested agencies faced the task of figuring out what good transparency could, and should, look like.
Purpose
When to use this guidance?
Why is this guidance needed?
Making an informed decision to release open source software
What to consider?
Motivations to release government open source software
Concerns about…
The capabilities in their 7 possible categories. Each of these categories relates to a stage in the data lifecycle. This view is useful if you want to focus in on a particular category to assess an individual or a team.
While the Centre doesn’t provide ethics training courses, there are several data ethics courses targeting various analytical functions.
Principle 5: Balance benefits and risks. This principle includes ngā tikanga Tapu (sacred, prohibited, restricted, or to be set apart) and Noa (ordinary, unrestricted, or normality).
Data.govt.nz helps people discover, collect, manage, use, share, re-use data. Learn about our history, the technology we use, and the partnership with DIA that makes it all possible.
Data.govt.nz adopted an international data harvesting open standard (data.json) to automate agency dataset updates and additions. There are tools available to help generate the correct format and the open standard data schema is detailed with examples.
Data.govt.nz's datasets, organisations and groups can be accessed and queried as JSON date through the metadata API; this page describes how.
The sharing of open data stories raises awareness about open data and encourages new release and use. Recently Stats NZ commissioned engage2 to gather stories from current and potential users of open data.
This guide provides expanded information about the Data capability framework, including the levels of capability, descriptions of use, and example use cases.