Incentives for Data Sharing

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

Project Details Ngā taipitopito

Project Status:
Active
Challenge funding:
$129,590
Research duration:
July 2022 – December 2022

Collaborators Ngā haumi

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

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

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