{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/127375"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/127375","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Balancing farm antimicrobial resistance research and data privacy","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","abstract_has_math":false,"creators":["Adegbole, Charles Ayooluwa"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"VMS - Pathobiology","degree_department":null,"school":null,"contributors":["Smith, Rebecca Lee","Nguyen, Thanh Huong","Varga , Csaba","Alam, Tauqeer","Whitaker, Rachel"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-12-04","date_published":"2024-12-04","updated_at":"2026-07-22T22:25:04Z","subjects":["Antimicrobial Resistance","Amr","Farmers","Data Privacy","Dashboards"],"languages":["en","eng"],"rights":["Copyright 2024 Charles Adegbole"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/127375","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Smith, Rebecca Lee","Nguyen, Thanh Huong","Varga , Csaba","Alam, Tauqeer","Whitaker, Rachel"]},{"key":"dc:creator","label":"Author","values":["Adegbole, Charles Ayooluwa"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-12-04","2024-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["VMS - Pathobiology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Antimicrobial Resistance","Amr","Farmers","Data Privacy","Dashboards"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Charles Adegbole"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/127375"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","The student, Charles Adegbole, accepted the attached license on 2024-11-27 at 22:03.","The student, Charles Adegbole, submitted this Thesis for approval on 2024-11-27 at 22:10.","This Thesis was approved for publication on 2024-12-04 at 12:08.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21419 on 2025-03-28 at 14:43:30","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Balancing farm antimicrobial resistance research and data privacy"]}]}],"canonical_facts":{"dc:contributor":["Smith, Rebecca Lee","Nguyen, Thanh Huong","Varga , Csaba","Alam, Tauqeer","Whitaker, Rachel"],"dc:creator":["Adegbole, Charles Ayooluwa"],"dc:date":["2024-12-04","2024-12"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","The student, Charles Adegbole, accepted the attached license on 2024-11-27 at 22:03.","The student, Charles Adegbole, submitted this Thesis for approval on 2024-11-27 at 22:10.","This Thesis was approved for publication on 2024-12-04 at 12:08.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21419 on 2025-03-28 at 14:43:30","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/127375"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Charles Adegbole"],"dc:subject":["Antimicrobial Resistance","Amr","Farmers","Data Privacy","Dashboards"],"dc:title":["Balancing farm antimicrobial resistance research and data privacy"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["VMS - Pathobiology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:04Z"}