[目的/意义]目前，科研大数据已经成为各国经济、社会和科技发展的重要关切，探究其基础框架体系及其关联逻辑具有重要的理论意义和实践价值。[方法/过程]文章基于而不囿于生态学理论和控制论方法，以系统化原则构建了基于“初生-共生-再生-寄生”的科研大数据基础框架体系。该基础框架体系以生态理念为根本遵循，以“初生”为根基，“共生”为保障，“再生”为关键，“寄生”为特例，以过程逻辑、功能逻辑与形式逻辑为关联逻辑域，从而实现数据的迭代优化。[结果/结论]构建的科研大数据基础框架体系，理论上，从崭新的视角为科研大数据研究提供参考，同时为科研大数据的组织和管理提供有益的帮助和启示；实践上，有助于分析、审视数据溯源、数据基因问题，并减少数据垄断、数据割裂、数据沉睡等不良现象，从而为建立良好的科研大数据生态圈，筑建科研大数据命运共同体，不断焕发科研数据生命力，实现不同层面科研主体之间的和谐共生与共赢发展奠定坚实的基础。
[Purpose/significance] Currently, the scientific research big data is a major concern for the economic, so⁃cial, and technological development of various countries. Exploring its basic framework and correlative logic holds sig⁃nificant theoretical and practical value. [Method/process] This study grounded in a comprehensive review of the perti⁃nent theoretical foundations of the basic framework system for scientific research big data, transcends ecological and cy⁃bernetics theories and methods. Following systematic principles, it establishes the basic framework system for scientific research big data based on the concepts of "nascence-symbiosis-regeneration-parasitism". The basic framework sys⁃tem adheres to ecological principles. It considers "nascence" as the foundation, "symbiosis" as the guarantee, "regener⁃ation" as the key, and "parasitism" as a special case，employing process logic, time logic, functional logic, and formal logic as the logical domains, facilitating cyclical feedback and iterative optimization. [Result/conclusion] The theoreti⁃cal construction of the basic framework system for scientific research big data provides a novel perspective for the scien⁃tific research big data study, offering valuable guidance for the organization and management of the scientific research big data. In practical terms, the basic framework system for scientific research big data aids in the analysis, scrutiny,and mitigation of negative phenomena such as data monopolies, data fragmentation and data dormancy. This contribu⁃tion supports the establishment of a robust ecosystem of scientific research big data, fosters a sense of shared destiny within the scientific research big data community, revitalizes the vitality of research data, and establishes a firm founda⁃tion for harmonious symbiosis and mutually beneficial development among research entities at different levels.
