Group 1 - The core argument of the article emphasizes the importance of data as a new production factor in the digital economy, highlighting its explosive growth and the need for a structured market for data elements [1][2][3] - The article outlines the gradual policy developments in China regarding data as a production factor, including the establishment of a data property rights system and the promotion of data marketization [1][2][3] - The concept of "structural separation of data property rights" is introduced, which involves the division of data rights into holding rights, usage rights, and operational rights, aiming to enhance data governance and market efficiency [3][4][5] Group 2 - The article discusses the multi-layered process of transforming data from a resource to a productive factor, emphasizing the need for clear property rights to facilitate efficient economic activities [2][3][4] - It highlights the unique characteristics of data, such as non-competitiveness and low replication costs, which complicate traditional property rights frameworks [2][3][4] - The structural separation of data property rights is proposed as a solution to address issues like data monopolization and privacy protection, while also promoting cross-industry collaboration [3][4][5] Group 3 - The article identifies the challenges in the current data market, including unclear rights definitions and inefficient circulation mechanisms, which hinder the realization of data value [11][12][13] - It presents various models and frameworks for understanding the data value chain, emphasizing the importance of market transactions in transforming data into capital [11][12][13] - The research aims to explore the impact of structural separation of data property rights on the value realization of data elements, filling gaps in existing literature [13][14][15] Group 4 - The article elaborates on the influence of structural separation on different stages of data value formation, particularly focusing on the resource and asset stages [14][15][16] - It discusses how structural separation can break down data silos, improve data quality, and enhance data security, thereby facilitating better data utilization [15][16][17] - The article also highlights the role of structural separation in promoting data asset valuation and market recognition, which is crucial for the development of a data-driven economy [17][18][19] Group 5 - The article emphasizes the significance of data products and their marketization, noting that clear pricing mechanisms and property rights are essential for effective data transactions [20][21][22] - It discusses how structural separation can reduce transaction friction and improve supply-demand matching efficiency in the data market [21][22][23] - The article advocates for innovative application scenarios for data, suggesting that structural separation can facilitate cross-industry collaboration and enhance the overall value of data [22][23][24] Group 6 - The article concludes that exploring the structural separation of data property rights can maximize the value of data elements and support the high-quality development of the digital economy [26][27][28] - It provides policy recommendations for implementing this structural separation, including promoting data sharing, establishing clear asset valuation standards, and encouraging innovative data trading models [28][29]