Incentives for Data Sharing

Developing a multilateral data-sharing agreement model that increases access to data

Project Details Ngā taipitopito

Project Status:
Challenge funding:
Research duration:
July 2022 – March 2023

Collaborators Ngā haumi

DairyNZ | Farmax | Ministry for the Environment | Rezare | Scarlatti | University Of Auckland | Victoria University Of Wellington

You are here: Home / Projects / ­ Incentives for Data Sharing

What are we doing?E aha ana mātou?

Multilateral data-sharing is a goal of many organisations in New Zealand’s agrifood sector.

Data exchange between landowners and industry organisations would inform land and water monitoring tools, and access to timely and accurate data would support farm planning and improve outcomes.

Past attempts to facilitate multilateral data sharing have had some success, but none have achieved widespread adoption. The system may have become stuck in an unfavourable Prisoners Dilemma-style equilibrium.

This project aims to take stock of data sharing within New Zealand’s primary industries, including who is sharing data, the types of data they have and want, and their incentives and constraints. A game theory model will be used to analyse the data-sharing market and potential interventions to increase access to data.

Research participants include Ministry for the Environment, DairyNZ, and specialists in game theory, data interoperability, information technology in the food and fibre sector, and Māori data sovereignty.

How can the research be used? Ka pēhea e whai take ai te rangahau?

  • A paper addressing the issues associated with multilateral data-sharing will analyse the strategic behaviour of decision-makers, cover key findings from this project and recommend the next steps to take the approach further.
  • This project will provide stakeholders with an understanding of the nature of data sharing within New Zealand’s primary industries and act as a starting point to consider interventions aimed at facilitating data sharing.
  • Multilateral data-sharing will provide farmers and their advisors access to timely and accurate data, reduce barriers to farm planning, and improve environmental outcomes.
  • Achieving multilateral data-sharing would benefit land and water management by facilitating data exchange from landowners and industry organisations to inform land and water monitoring tools.

Research team Te hunga i whai wāhi mai

Science Lead
Adam Barker
Project Lead
Penelope Ainsworth
Te Ao Māori
Andrew Sporle
iNZight Analytics / University of Auckland
Sam Cormack
Jack Robles
Victoria University of Wellington
Andrew Cooke
Gavin McEwen

Tools & resources Ngā utauta me ngā rauemi

Technical Report

Multilateral Data Sharing: Lessons from a case study with organisations managing beef genetics data

Multilateral data sharing (MLDS) is a long-held goal of many organisations in New Zealand’s food and fibre industries. It is also an efficient way to…
View Technical Report

Academic outputs He whakaputanga ngaio

Incentives for Change Projects

Tauutuutu Diagram For Website

Kaitiaki Intelligence Platforms

Positioning Māori as first movers in next-generation environmental intelligence
View Project
This project has produced
Information Type Icon Infographic OutlineInformation Type Icon Summary OutlineInformation Type Icon Technical Reports Outline

Eutrophication Product Footprinting

Eutrophication indicators will help New Zealand agribusiness reduce environmental impacts and meet expected new European environmental standards
View Project

Indicators Working Group

Investigating the use of indicators to help the primary and public sector meet local, national and international reporting requirements
View Project
The Matrix Of Drivers 2022 1200x800

The Matrix of Drivers

A foundational understanding of international and domestic drivers and issues, and their importance to the primary sector
View Project
This project has produced
Information Type Icon Interactive Tool OutlineInformation Type Icon Summary OutlineInformation Type Icon Technical Reports Outline
New Models Of Collective Responsibility

New Models of Collective Responsibility

Developing new ways to strengthen the connection between people, land and water
View Project
Register Of Land Management

Register of Land Management Actions

What's been done? A national record of land management actions to improve water quality and restore catchments
View Project
Scroll to Top