This paper explores the concept of data sovereignty in Information Systems (IS) research, aiming to provide a conceptual model that clarifies the term and supports further research. Data sovereignty refers to the right of individuals and organizations to control the use and sharing of their data. The paper reviews existing literature and identifies seven core aspects of data sovereignty, including data assets, data providers and consumers, contractual agreements, data value chain and lifecycle activities, data infrastructure, trust, and the implementation of data sovereignty in practice. The paper argues that data sovereignty is essential for ensuring that data is used in a way that respects the rights and interests of individuals and organizations. It highlights the importance of trust between data providers and consumers, supported by data infrastructure and contractual agreements that govern the data lifecycle. The paper also discusses the role of data ecosystems, which are environments where data is shared and used in a balanced and transparent manner. The paper presents a conceptual model based on agency theory, which emphasizes the importance of trust and control in data sharing. The model includes seven core aspects that are interconnected and essential for the implementation of data sovereignty. The paper also discusses the practical implications of data sovereignty, including the need for secure data sharing practices, the importance of data infrastructure, and the role of trust in ensuring data sovereignty. The paper concludes that data sovereignty is a critical concept in IS research and that further research is needed to fully understand its implications. The paper also highlights the importance of interdisciplinary research and the need for a more comprehensive understanding of data sovereignty in the context of data ecosystems and data governance. The paper provides a framework for future research and emphasizes the importance of developing practical solutions that support data sovereignty in practice.This paper explores the concept of data sovereignty in Information Systems (IS) research, aiming to provide a conceptual model that clarifies the term and supports further research. Data sovereignty refers to the right of individuals and organizations to control the use and sharing of their data. The paper reviews existing literature and identifies seven core aspects of data sovereignty, including data assets, data providers and consumers, contractual agreements, data value chain and lifecycle activities, data infrastructure, trust, and the implementation of data sovereignty in practice. The paper argues that data sovereignty is essential for ensuring that data is used in a way that respects the rights and interests of individuals and organizations. It highlights the importance of trust between data providers and consumers, supported by data infrastructure and contractual agreements that govern the data lifecycle. The paper also discusses the role of data ecosystems, which are environments where data is shared and used in a balanced and transparent manner. The paper presents a conceptual model based on agency theory, which emphasizes the importance of trust and control in data sharing. The model includes seven core aspects that are interconnected and essential for the implementation of data sovereignty. The paper also discusses the practical implications of data sovereignty, including the need for secure data sharing practices, the importance of data infrastructure, and the role of trust in ensuring data sovereignty. The paper concludes that data sovereignty is a critical concept in IS research and that further research is needed to fully understand its implications. The paper also highlights the importance of interdisciplinary research and the need for a more comprehensive understanding of data sovereignty in the context of data ecosystems and data governance. The paper provides a framework for future research and emphasizes the importance of developing practical solutions that support data sovereignty in practice.