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A Transdisciplinary Approach Supporting the Implementation of a Big Data Project in Livestock Production: An Example
Céline Faverjon1, Abraham Bernstein2, Rolf Grütter3
1Vetsuisse Faculty, Veterinary Public Health Institute, University of Bern, Bern, Switzerland.
Frontiers in Veterinary Science
|July 24, 2019
Summary
Implementing Big Data in livestock production faces challenges like data sharing and privacy. A transdisciplinary approach, as seen in the Swiss "Pig Data" project, offers a promising solution for integrating animal health data.
Area of Science:
- Agricultural Science
- Data Science
- Veterinary Medicine
Background:
- Big Data offers potential for animal health improvement but faces implementation barriers in livestock production.
- Challenges include data privacy, numerous stakeholders, and competitive environments hindering data sharing and integration.
- The Swiss pig industry exemplifies these Big Data issues due to its decentralized, fragmented nature and heterogeneous data collection.
Purpose of the Study:
- To describe the application of a transdisciplinary approach within a Big Data research project in the Swiss pig industry.
- To outline the structure, collaborative tools, knowledge transfer mechanisms, and data utilized in the "Pig Data" research project.
- To offer insights and guidance for researchers employing similar Big Data strategies in livestock production systems.
Main Methods:
- Utilized a transdisciplinary approach to address Big Data challenges in livestock production.
- Developed specific tools for collaboration and knowledge transfer among diverse stakeholders.
- Collected and integrated heterogeneous data from a decentralized network of small, independent actors.
Main Results:
- Successfully initiated a Big Data research project ("Pig Data") within the complex Swiss pig production system.
- Established collaborative frameworks and data integration tools to overcome fragmentation.
- Identified and documented key challenges and practical insights from the project implementation.
Conclusions:
- Transdisciplinary approaches are effective in overcoming barriers to Big Data implementation in livestock production.
- The "Pig Data" project provides a valuable case study for future Big Data initiatives in animal agriculture.
- Experience gained offers practical direction for researchers aiming to leverage Big Data for improved animal health and production systems.
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