Abstract:In the realm of public services, the construction of an Intellectual Property (IP) Big Data platform is critical for enhancing service quality and efficiency. This research, guided by public service demands, innovatively designed and implemented a publicly-oriented IP Big Data platform with distinctive local characteristics, aimed at reinforcing IP protection, stimulating innovation capabilities, and refining the public service system. The study deeply explores how an IP Big Data platform tailored for public services can cater to diverse user needs, overcome technical challenges, and, based on practical experience, devised solutions, particularly focusing on governance measures for addressing issues in the data management process pertaining to patent foundational data. The platform efficiently consolidates extensive resources from the IP big data domain, realizing rapid integration and thorough mining of IP data, thereby providing robust data underpinning for government decision-making, scientific R D, and public services alike. Ultimately, this platform not only comprehensively covers IP data and realizes its efficient utilization but also furnishes governments, innovators, and the general public with convenient and efficient IP information services, serving as a significant exemplar of big data technology applications in the public service sector. The findings of this research hold substantial theoretical and practical significance for advancing the development and refinement of IP Big Data platforms and uplifting the overall standard of public services.