科学研究的数据生态及其模式演进研究

Research on the data ecology and pattern evolution of scientific research

数据是现代科学研究不可或缺的重要组成部分,数据生态及其模式演进对于促进科研创新、推动学术出版至关重要。基于概念回溯和比较分析,本文运用数据生态理论深入阐述了科研创新与学术出版的内在逻辑关联,搭建了以科研创新链-数据链-学术出版链为核心的一体化分析框架。同时,结合不同研究范式的演进,分析其数据生态的主要表现,如不同科研范式下数据思维、数据制度、数据主体关系、数据管理结构、数据流通环境、数据管理方法等。最后,提出科研数据生态模式演进的理论模型,为加强数据驱动型研究范式下我国科研数据管理的深入推进提供新的思路与对策建议。

Data is an indispensable part of modern scientific research,the evolution of data ecology and its pattern is very important to promote scientific research innovation and academic publishing.Based on conceptual backtracking and comparative analysis,this paper uses the theory of data ecology to elaborate the internal logical relationship between scientific research innovation and academic publishing,building an integrated analysis framework with the core of scientific research innovation chain-data chain-academic publishing chain,and analyzes its main features in combination with the evolution of different research paradigms,such as mode of data thinking,data regulation,data subject relationship,data management structure,data circulation environment,data management methods.In the end,This paper sorts out the patterns of scientific research innovation and academic publishing under different data ecology,including closed pattern,expanded pattern and collaborative pattern,then puts forward a theoretical model for the evolution of data ecological pattern,providing new solutions for strengthening the in-depth promotion of scientific research data management under the data-driven research paradigm in China.