科学数据安全标准规范关键问题探索

Research on Key Problems of Scientific Data Security Standard

科学数据是科研活动的重要成果,更是科技创新的数据资源基础。与此同时,科学数据安全问题也日益严峻,在数据共享实践过程中遇到了前所未有的挑战,需要全面加强科学数据安全标准规范体系的研究与制订。文章从信息安全属性、科学数据资源特征以及学科领域数据安全三个维度出发,深入分析了科学数据安全的特点与特征,提出了科学数据安全标准的五个重点研究方向,即科学数据安全框架、科学数据安全分级分类、科学数据权益保护、科学数据全生命周期安全以及领域科技资源安全。研究科学数据安全特征和标准体系,对于发挥科学数据驱动创新型国家建设的作用和促进《科学数据管理办法》的全面实施具有重要意义。

Scientific data are important achievements of scientific research and the resource base of technological innovation.At the same time,the security of scientific data has become increasingly serious,and unprecedented challenges have been encountered in the practice of data sharing.It is urgent to strengthen the research of scientific data security standard system.This paper analyzes the characteristics of scientific data security from these dimensions of information security attributes,characteristics of scientific data resources and subject area data security.Five key research directions of scientific data security standards are proposed,namely,scientific data security framework,scientific data security classification,scientific data rights protection,life cycle security of scientific data and basic technical standards of scientific and technological resources security in the field.Research on the characteristics and standard system of scientific data security is of great significance to promote the construction of an innovative country and the full implementation of"Measures for Managing Scientific Data".