Practices and Insights of Scientific Data Security Grading Management Based on the Entire Life Cycle

Abstract

In the era of big data, scientific data has become a strategic resource for national scientific and technological innovation and economic and social development, and the importance of its security management has become increasingly prominent. Based on the theory of the entire life cycle management of scientific data, this paper deeply discusses the core connotation of data security grading management, and systematically analyzes the prominent problems existing in the current scientific data security management in terms of system connection, process coverage, technology adaptation, and rights protection. On this basis, the paper constructs a practical path of scientific data security grading management covering six stages: data planning, collection, storage, use, sharing, and destruction, and puts forward targeted implementation strategies. Research shows that scientific data security grading management based on the entire life cycle is not only a technical issue but also a systematic project involving system design, organizational collaboration, and cultural cultivation. It has important theoretical value and practical enlightenment for improving data governance capabilities and promoting the orderly opening and sharing of scientific data.