Our vision, to enable the next level of data science across all areas of the New Zealand environment, will benefit a wide range of communities, researchers and practitioners, while also benefiting from your data, insights and mātauranga. The TAIAO Project is already working with many partners, and we aim to grow a community of data scientists and environmental scientists who will connect, share, and collaborate together. This community will share data and co-design data science tools to address their most important environmental challenges.

Who Should Get Involved?

We want to be connecting people across whānau, marae, hapū, iwi, regional councils, government agencies, crown research institutes, industry and academia. Our hope is to bring together a rich and diverse community of passionate people who are able to weave together their expertise in data science and environmental science, and mātauranga for the benefit of our environment. 

How To Get Involved

There are a number of ways you can get involved in the TAIAO community depending on what you are looking for:


You can use datasets and data science (in the form of “Notebooks”) which have been added by TAIAO Project and eventually members of our wider community. These have been shared with open licenses so that you can use these in your own research and practice. You might want to re-use these datasets for your own analysis, explore the insights in the Notebooks, or use them as a starting point for your own research. Have a look at our list of datasets and notebooks!


You can ask questions, share comments and kōrero with data science or environmental researchers or practitioners, by posting these on our discussion forum. You can register for an account and either add general posts or post on specific datasets or notebooks.


You can learn more about data science and environmental science by following the tutorials which we have shared or attending one of our training sessions.


You can use the TAIAO Community Platform to share your datasets, notebooks or tutorials with the wider TAIAO community. You will need to register an account and share some information about the dataset or notebook you’d like to share. Our community is there to help you through the process, so reach out if you have any questions. 


If you have an environmental challenge you think could be solved with data science, we are always looking for new partners to collaborate with. Please get in touch with us.

How We Can Work Together

To help us come together, create trust and foster innovative collaboration we have

developed the following protocols. These protocols have been developed in collaboration between the University of Waikato, MetService and Beca, and will continue to evolve under the guidance of the TAIAO Project Steering Group. To participate in the evolution of these protocols, please get in touch. 

TAIAO Community Guidelines

The TAIAO Community Guidelines describes how you are able to participate in the TAIAO community, expectations from you as a member of our community and pathways for engagement and moderation. 

TAIAO Open Licensing Guidelines

The TAIAO License Guidelines provides recommendations on how Datasets and Notebooks might be licensed to make them openly accessible to the TAIAO Community.

TAIAO Metadata Standards

The TAIAO Metadata Standards describes the metadata collected on datasets and notebooks so that they are accessible and relevant to users of the TAIAO Community Platform.

TAIAO Data Policy + Procedures

The TAIAO Data Policy describes how the TAIAO Project governs and manages data following the cultural, ethical, legal and commercial considerations of the organisations we represent, the partners we work with and the communities we touch. The policy includes guidelines on data management and licensing. 

TAIAO Community Platform Terms of Use

The TAIAO Community Platform Terms of Use describes the legal rights for your use of the TAIAO Community Platform, content which you share on the platform as well as the privacy policy outlining collection, use and protection of your personal data.