开放科学创新生态构建中的数据处理伦理准则框架研究

Purpose/Significance] The development of open science still faces many data ethical problems, and there is an urgent need toexplore the ethical guidelines for data handling that are compatible with the open science innovation ecology. The establishment ofethical guidelines is essential to create a favorable open science innovation ecology for data handling that match the construction of openscience innovation ecology, and guide the participants in the open science innovation ecology to act in accordance with legal regulationsand ethical norms in the process of data creation, sharing, dissemination, and utilization, and restraining data handling behaviors for thegood and benefit of society. [Method/Process] This study first uses literature research and content analysis, based on relevant laws,guidelines, draft frameworks, policies and typical data management models on data handling ethics, from a universal perspective, basedon the practice of data acquisition, storage, management, use and destruction, for social data in a broad sense, while taking into account apart of scientific research data, correlating and integrating different guidelines, seeking common themes and contents among existingguidelines, and summarizing the general dimensions and highly recognized guidelines. This study summarizes the general dimensions of ethical guidelines for data handling and the contents of the guidelines with high recognition. Second, this study combines the concept ofopen science and the needs of national social development, and distills the needs of ethical guidelines for data handling in the openscience innovation ecosystem from the latest domestic planning policies and the connotation of open science. Finally, this studysynthesizes and compares the two results through matrix analysis, and analyzes the framework of ethical guidelines for data handling inthe construction of open science innovation ecology from the perspectives of commonality and characteristics, and synergy betweenguideline contents and policies and concepts. [Results/Conclusions] The existing ethical guidelines for data handling have highapplicability in the open science innovation ecology, but still need dynamic expansion. Combining the concept of open science and thedevelopment needs of national society, this study proposes a framework of ethical guidelines for data handling in the open scienceinnovation ecology, including three dimensions and 15 elements of long-term governance, coordination and order, and systematicscience, aiming to serve the further development of the text of ethical guidelines for data handling adapted to the development of theopen science innovation ecology in China and to provide some reference for data management in institutions.