Abstract: The importance of scientific data in the era of open science and data-driven research is becoming increasingly prominent, and the academic value it contains has become the key to promoting scientific research and knowledge advancement. This paper draws on the “structure-process-function” analysis paradigm to analyze the academic value ecosystem of scientific data, selects indicators from three dimensions: system architecture, value flow, and ecological efficiency to form an ecosystem evaluation index system, and conducts practical analysis in combination with National Earthquake Data Center. The study found that the indicators that affect the comprehensive efficiency of the ecosystem are high-impact results, data mining, data reusability, data standardization, knowledge diffusion breadth, and policy adoption. At the same time, it brings several inspirations for the development of the academic value ecosystem of earthquake science data in our country: consolidating high-quality and reliable data foundations, improving data management specifications throughout the life cycle, establishing a dynamically evolving data standardization system, promoting open sharing and collaborative innovation of data, and improving government decision-making and ecological cultivation.

Key words: Earthquake Scientific Data; Academic Value; Data Ecosystem; National Earthquake Data Center; Structure-Process-Function