Abstract

Finding the Value in an Animal Health Data Economy: A Participatory Market Model Approach

Highlights

  • It is accepted that the costs of a severe animal disease outbreak in a country or region leads to significant economic costs, at a minimum in the tens of millions of euro (1)

  • Data is at the core of the emerging animal health market model landscape

  • This means that the data farm aggregator (DFA) must devote much attention to designing innovative business strategies to get on-board as many early adopters as possible to drive this network effect

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Summary

INTRODUCTION

It is accepted that the costs of a severe animal disease outbreak in a country or region leads to significant economic costs, at a minimum in the tens of millions of euro (1). Even a cursory glance at animal health agencies displays many researchers, projects, collaborative initiatives, and competent authorities with often duplicated roles, responsibilities, and geography These myriad efforts share some common deficiencies—lack of usage data and lack of timely data (4). With the almost ubiquitous nature of smartphones in farming there are many solutions on the market to enhance the digitization of important usage data Making these data available to researchers and policy makers has often been blocked by a misrepresentation of farmers’ attitudes toward data ownership and a comfort with the status quo by agri-food and pharmaceutical industries. Animal Health Participatory Market Model data ownership This reframing will force the entire animal health industry to create fresh market and business models to meet existing and emerging needs of farmers, researchers, policy makers, and consumers

DATA TENSIONS IN THE ANIMAL HEALTH INDUSTRY
CONCLUSION
Findings
AUTHOR CONTRIBUTIONS
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