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 maximise the utility of information held across a network of organisations. In 2022 Scarlatti worked with a range of organisations to develop ideas to assist organisations working in New Zealand's food and fibre industries to facilitate MLDS. In Phase II of the Multilateral Data Sharing project, Scarlatti extended the work in Phase I by undertaking a proof of concept with Beef and Lamb New Zealand (B+LNZ) Genetics, associated breed societies and other related parties (a 'data sharing collective' in the language of the framework developed in the first part of this work). This enabled us to evaluate the framework and mechanism, thereby refining the original tools and delivering enhanced versions for future applications.