农业图书情报学报 ›› 2022, Vol. 34 ›› Issue (9): 29-43.doi: 10.13998/j.cnki.issn1002-1248.22-0463

所属专题: 开放科学

• 开放创新生态专题 • 上一篇    下一篇

开放科学创新生态构建中的数据处理伦理准则框架研究

刘静羽1,2, 贾毓洁1,2,*, 黄金霞1, 王昉1   

  1. 1.中国科学院文献情报中心,北京 100190;
    2.中国科学院大学 经济与管理学院图书情报与档案管理系,北京 100190
  • 收稿日期:2022-06-22 出版日期:2022-09-05 发布日期:2022-11-28
  • 通讯作者: *贾毓洁(1997- ),硕士研究生,研究方向为数字图书馆技术、数据管理、数据权益。Email:jiayujie@mail.las.ac.cn
  • 作者简介:刘静羽(1989- ),硕士,副研究馆员,研究方向为开放资源建设、预印本学术交流、数字资源权益管理。黄金霞(1972- ),博士,研究馆员,研究方向为开放资源建设、开放科学研究。王昉(1977- ),硕士,副研究馆员,研究方向为开放资源建设与利用。
  • 基金资助:
    中国科学院文献情报能力建设专项“建设全球高质量开放学术论文汇聚平台”(E1291902); 国家科技图书文献中心专项任务“开放资源权益及版权谈判与规范应用维护”(2022XM12)

Ethics Principle Framework of Data Handling for Open Scientific Innovation Ecology

LIU Jingyu1,2, JIA Yujie1,2,*, HUANG Jinxia1, WANG Fang1   

  1. 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2022-06-22 Online:2022-09-05 Published:2022-11-28

摘要: [目的/意义]开放科学发展仍面临着诸多数据伦理难题,亟需探究与开放科学创新生态相适应的数据处理伦理准则。建立与开放科学创新生态构建相匹配的数据处理伦理准则,指导开放科学创新生态中的参与主体在数据创造、共享、传播、利用过程中按照法律规定和伦理规范开展行动,约束数据处理行为向好向善、造福社会,对于营造良好开放科学创新生态至关重要。[方法/过程]本研究首先运用文献调研、内容分析法,立足数据处理伦理的相关法律、指南、框架草案、政策以及典型数据管理模型,从普适的角度出发,立足数据获取、存储、管理、使用和销毁的实践,面向广义的社会性数据,同时兼顾一部分科研数据,关联整合不同的准则内容,寻求现有准则间的共有主题和内容,归纳数据处理伦理准则的一般维度和认可度较高的准则内容。其次,本研究结合开放科学理念和国家社会发展需要,从国内最新规划政策与开放科学内涵中,提炼出开放科学创新生态环境下的数据处理伦理准则需求。最后,本研究通过矩阵分析综合比较两项结果,从共性和特性、准则内容与政策及理念协同等角度,分析得出开放科学创新生态构建中的数据处理伦理准则框架。[结果/结论]现有的数据处理伦理准则在开放科学创新生态中具有较高的适用性,但仍需动态拓展。本研究结合开放科学理念和国家社会发展需要,提出开放科学创新生态数据处理伦理准则框架,包括长治久安、协调有序和系统科学3个维度和15个要素,旨在服务于适应中国开放科学创新生态发展的数据处理伦理准则文本的进一步制定,并为机构的数据管理提供一定参考。

关键词: 数据处理伦理, 开放科学创新生态, 开放科学, 数据治理, 科技伦理

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.

Key words: data handling ethics, open and innovative ecology, open science, data handling, scientific ethics

中图分类号: 

  • G250.7

引用本文

刘静羽, 贾毓洁, 黄金霞, 王昉. 开放科学创新生态构建中的数据处理伦理准则框架研究[J]. 农业图书情报学报, 2022, 34(9): 29-43.

LIU Jingyu, JIA Yujie, HUANG Jinxia, WANG Fang. Ethics Principle Framework of Data Handling for Open Scientific Innovation Ecology[J]. Journal of Library and Information Science in Agriculture, 2022, 34(9): 29-43.