Data Policies and Procedures


The TAIAO Project will collect, store, use, re-use, access and retain data that may belong to, be of interest or impact a range of partners, stakeholders and communities. These policies and procedures document how the TAIAO Project will adopt and promote good data management and governance practices to enhance the engagement, trust and collaboration with everyone we work with.


All TAIAO Project Members should follow these policies and procedures and exemplify these in the TAIAO Community.

TAIAO Community Members are encouraged to follow these policies and procedures. Failure to do so may limit their ability to engage with the TAIAO Project (e.g. datasets or notebooks which are not correctly licensed or acknowledged may not be able to be shared on the TAIAO Community Platform).  

TAIAO Values

To realise our vision, the TAIAO Project, holds the following values, applying them to all the work we do.


We value the development of new and innovative data science methodologies along with building capability of environmental researchers and practitioners to make use of data science.


We value data science that is accessible to people who can make it useful to their communities to benefit the environment.


We value being inclusive of a wider community and appropriately sharing data, tools and methods.


We value the inputs and collaboration from a wider community to co-design data science.

These values, as well as the ongoing development of these policies and procedures, is guided by the following principles:

Principles of Māori Data Sovereignty (MDSov)

  1. Rangatiratanga | Authority
  2. Whakapapa | Relationships
  3. Whanaungatanga | Obligations
  4. Kotahitanga | Collective benefit
  5. Manaakitanga | Reciprocity
  6. Kaitiakitanga | Guardianship


  • Findable
  • Accessible
  • Interoperable
  • Reusable


  • Collective Benefit
  • Authority to Control
  • Responsibility
  • Ethical

The following procedures are intended to provide practical guidance to follow these policies.


These procedures should be followed when engaging with TAIAO Community Members.

The TAIAO Community are to determine and articulate the governance of their data.Appropriate permissions (cultural and legal) have been provided from the communities and/or kaitiaki from where the data has been sourced, this must include, but is not limited to: 1. The license for the dataset 2. Conditions for storing the dataset (e.g. In New Zealand only/Secure) 3. Traditional Knowledge Notice 4. The purpose for which the data can be used Invite input from data owners (cultural and legal) to the continued development of the TAIAO Protocols.MDSov.1.1 MDSov.1.2 MDSov.1.3 CARE.A1 CARE.A3 CARE.E2
Explore the value and risks of any Contributions which they share.Share information on the selection of an appropriate license for their Contribution. Understand where there may be potential harm caused through sharing this data and collaboratively explore mitigations.MDSov.2.3 MDSov.5.2 CARE.A1 CARE.E2 CARE.E3
Share Datasets and Notebooks which they may be interested in.Show them the TAIAO Community Platform and how to find Datasets and Notebooks. Select and share the Datasets and Notebooks which you think they might be interested in e.g. which overlaps with their geographic areas of interest. Facilitate licenses and/or access to specific Datasets and Notebooks.MDSov.1.3 MDSov.4.1 MDSov.4.3 CARE.C1 CARE.C2 CARE.C3 CARE.A1 CARE.A2
Maintain a high standard of behaviour across the TAIAO Project and TAIAO Community MembersImplement and enforce a Community Code of ConductMDSov.6.2 CARE.E1

These procedures should be followed when recording metadata, in accordance with the TAIAO Metadata Standards, so that it accurately represents contributions from TAIAO Community Members.

Support the use of datasets in accordance to the values of their creatorsAdd a Traditional Knowledge Notices if there could be accompanying cultural rights, protocols and responsibilities that need further attention for future sharing and use of the Dataset or Notebook.MDSov.5.1 CARE.R1
Identification of Datasets and Notebooks which may be of interest to them.Record Spatial and Temporal Extent metadata to help communities find Datasets and Notebooks of interest.MDSov.2.2 CARE.A1
Acknowledge the provenance of the DatasetRecord Provider, Licensor, Producer, Processor and Host organisation metadata.MDSov.2.1 MDSov.3.2 CARE.E3
Record the context in which Datasets were collected and Notebooks were createdRecord the purpose of Datasets and NotebooksMDSov.2.1 CARE.E3
Identify how these Contributions can be shared.Record the License metadataMDSov.1.2 MDSov.6.3 CARE.A2

These procedures should be followed when hosting Contributions from TAIAO Community Members.

Host and process data in accordance with any data sovereignty requirementsDo not use cloud services that are not based in New Zealand if the dataset needs to be kept in New Zealand. Host data on the TAIAO Community Platform (which is hosted in New Zealand)MDSov.1.2 MDSov.6.1 CARE.A1
Provide control over Contributions that have been shared.A Dataset Licensor or Notebook Author is allowed to delete their Contributions from the TAIAO Community Platform at any point.MDSov.1.1

These procedures should be followed when reviewing notebooks that have been produced.

Involve the TAIAO Community in the review of Notebooks that they might be interested inMeaningfully engage the TAIAO Community who have contributed to your work to seek their feedback and/or endorsement of Notebooks prior to publication.CARE.C2 CARE.R1
Related Documents

This policy should be applied with consideration to any of the following relevant documents:

  • University of Waikato Research Data Management Policy 
  • TAIAO Partner Agreements
  • TAIAO Partner Data Policies and Procedures
  • Staff Code of Conduct
  • Intellectual Property Rights
  • Ethical Conduct in Human Research and Related Activities
  • United Nations Declaration on the Rights of Indigenous Peoples
  • Information Security Standards
  • Computer Systems Regulations

TAIAO Project

The Time-Evolving Data Science / Artificial Intelligence for Advanced Open Environmental Science (TAIAO) project led by the University of Waikato and funded by the Ministry of Business, Innovation, and Employment (MBIE) to advance the state-of-the-art in environmental data science by developing new machine learning methods for time series and data streams; build a new open-source framework to implement machine learning on time series data; provide an open available repository with datasets to improve reproducibility in environmental data science; build capability in fundamental and applied data science, accessible to all New Zealanders. Delivered in partnership with the University of Auckland, University of Canterbury, Beca and MetService.

TAIAO Community Platform 

The website hosted by the TAIAO Project for TAIAO Project Members and Collaborators to share datasets, data science tools, software, tutorials and discussions.

TAIAO Project Steering Group

The group providing oversight and governance for the TAIAO Project, consisting of:

  • Prof. Albert Bifet (University of Waikato)
  • Prof. Karin Bryan (University of Waikato)
  • Jeremy Wright (Beca)
  • Gregory Pearson (MetService)

TAIAO Project Members

People from the University of Waikato or organisations formally partnered with the University of Waikato to deliver the TAIAO Project (University of Auckland, University of Canterbury, Beca and MetService).

TAIAO Community 

Inclusive term for the TAIAO Project Steering Group, TAIAO Project Members, people and organisations who are not TAIAO Project Members but share data with, or use data from the TAIAO Project, including the use of the TAIAO Community Platform.

TAIAO Visitors

Individuals who visit the platform to view available content.


Datasets or Notebooks shared with the TAIAO Project. 

Mātauranga Māori

A body of knowledge generated within Māori communities, including Datasets and Notebooks.