Balancing farm antimicrobial resistance research and data privacy

The idea that farmers are the major drivers of antimicrobial resistance (AMR) is popular among the scientific community and the public media. This narrative has reportedly affected farmers negatively and contributes to their increasing reluctance to share livestock AMR data with stakeholders. Our study investigates farmers’ rationale for withholding their livestock AMR data from a different perspective, but most importantly it explores solutions to the growing problem. We conducted semi structured interviews with 48 researchers experienced in the analysis and interpretation of livestock AMR data collated in the United States. Our results underscore the critical need for a privacy approach tailored for protecting livestock AMR data generated from farms. It specifically suggests the development of a multi-level data access system where the public can only access interpreted AMR data, while researchers are granted access to raw and sensitive livestock data based on necessity. Implementing this system provides the required level of security and satisfaction to the stakeholders involved. Participants in the study also emphasize the need to build trust with the farmers by being transparent about the livestock AMR data collection, use and management. In conclusion, this study provides a framework for improving livestock AMR data sharing within and outside the scientific community. Addressing farmers’ concerns and implementing robust data governance measures can improve collaboration among researchers, policymakers, and public health officials. The findings of this study are crucial for influencing global policies and practices in the battle against antimicrobial resistance worldwide.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

VMS - Pathobiology

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2024

Author dc:creator

• Adegbole, Charles Ayooluwa

Contributors dc:contributor

• Smith, Rebecca Lee
• Nguyen, Thanh Huong
• Varga , Csaba
• Alam, Tauqeer
• Whitaker, Rachel

• Antimicrobial Resistance
• Amr
• Farmers
• Data Privacy
• Dashboards

Statement dc:rights

• Copyright 2024 Charles Adegbole

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/127375

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F127375