Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] The development of open science still faces many data ethical problems, and there is an urgent need to explore the ethical guidelines for data handling that are compatible with the open science innovation ecology. The establishment of ethical guidelines is essential to create a favorable open science innovation ecology for data handling that match the construction of open science innovation ecology, and guide the participants in the open science innovation ecology to act in accordance with legal regulations and ethical norms in the process of data creation, sharing, dissemination, and utilization, and restraining data handling behaviors for the good 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, based on the practice of data acquisition, storage, management, use and destruction, for social data in a broad sense, while taking into account a part of scientific research data, correlating and integrating different guidelines, seeking common themes and contents among existing guidelines, 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 of open science and the needs of national social development, and distills the needs of ethical guidelines for data handling in the open science innovation ecosystem from the latest domestic planning policies and the connotation of open science. Finally, this study synthesizes and compares the two results through matrix analysis, and analyzes the framework of ethical guidelines for data handling in the construction of open science innovation ecology from the perspectives of commonality and characteristics, and synergy between guideline contents and policies and concepts. [Results/Conclusions] The existing ethical guidelines for data handling have high applicability in the open science innovation ecology, but still need dynamic expansion. Combining the concept of open science and the development needs of national society, this study proposes a framework of ethical guidelines for data handling in the open science innovation ecology, including three dimensions and 15 elements of long-term governance, coordination and order, and systematic science, aiming to serve the further development of the text of ethical guidelines for data handling adapted to the development of the open science innovation ecology in China and to provide some reference for data management in institutions.
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