基于耗散结构理论的科研数据管理系统概念模型及运行策略

Research on the Conceptual Model and the Ordering Mechanism of Scientific Data Management System Based on Dissipative Structure Theory

大数据环境下为实现科研数据共享和有效使用,笔者引用耗散结构理论,分析科研数据管理系统耗散结构的4大特征,基于此建立科研数据管理系统耗散结构概念模型,通过引入熵流来展现科研数据管理系统达到有序均衡所需的目标,提出引入外界负熵来控制系统中正熵增长的思路来解决科研数据管理的问题,实现科研数据的有序管理,提供实践型的理论依据和参考价值。

The arrival of the new data age has brought new challenges to the management of research data. This paper introduced the dissipative structure theory to analyze the four characteristics of the dissipative structure of the scientific data management system. Based on this,the conceptual model of the dissipative structure of the scientific data management system was established. By introducing the entropy flow to reveal the conditions required for the scientific data management system to achieve an orderly equilibrium state,the paper put forward the idea of leading into negative entropy from the outside to suppress the increase of positive entropy in the system to solve the problem of scientific data management,and provided the theoretical basis and reference value for the orderly management of scientific research data.