On Thursday 18th November at 8pm we'll be releasing an updated version of data.govt.nz. This will result in a very brief outage to the website and…
Getting started
Don’t repeat yourself
Where and how to publicly release your code?
What to include in your first code release
Working in the open
Safe configuration practices
Release early and often
Version…
Data confidentiality relates to whether individuals, households, or businesses can be identified within the data.
Organisations have different requirements for protecting data confidentiality, privacy, and security. A newly-released report documents best practice principles for technical experts and managers who supply and use data in New Zealand.
Learn about the lifecycle of a dataset, and data management plans (DMP), why they are important, and how to write one.
Mandated data standards, their importance, the current mandated standards, the topics proposed for future mandate, the process for selecting topics, and who mandates them.
Protecting the confidentiality of information people supply is essential to retaining public trust and confidence in the system. Without cooperation, willingness to provide data can be too low and threaten its accuracy or the usefulness.
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…
At the second community of practice hui, attendees brought their real experiences with the Algorithm Charter so they could share what had worked, what hadn’t, and, most of all, what they had learnt along the way.
The data confidentiality report which looks at best practice principles and methodology-related content, produced by Stats NZ.