First Advisor

Bruce Gilley

Term of Graduation

Spring 2023

Date of Publication


Document Type


Degree Name

Doctor of Philosophy (Ph.D.) in Public Affairs and Policy


Public Affairs and Policy




Agricultural Data, Data Governance, Policy Analysis, Policy Framework



Physical Description

1 online resource (v, 182 pages)


As the digital economy continues to grow and data becomes increasingly important, effective data governance is essential. A data governance framework enables the efficient management, sharing, and integration of data, resulting in better decision-making, increased productivity, and enhanced innovation across industries, including agriculture. However, the agricultural sector in the United States is lagging behind other industries in the adoption of effective data governance practices. Agricultural data governance presents a unique set of challenges due to the wide range of stakeholders involved and the ever-increasing volume of data generated by digital technologies in farming. One key challenge to achieving the benefits of effective agricultural data governance is the lack of a robust policy framework.

To address this issue, this doctoral dissertation utilizes a rigorous policy analysis methodology to examine the current data governance policy frameworks, identify gaps and areas for improvement, and propose a comprehensive policy framework for agricultural data governance. The proposed policy framework is informed by the policy analysis and designed to be adaptable and scalable to meet the changing needs of the digital economy and the agriculture sector. It addresses the challenges posed by the ever-increasing volume of agricultural data and aims to enhance the digital transformation of the agriculture sector.


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