论文部分内容阅读
[目的 /意义]科学实验数据组织现状混乱、丢失现象频繁,严重阻碍科学数据的保存、复用以及公开获取,因此构建规范的科学实验元数据模型对实验数据的组织、保存、检索、复用等有重大的现实意义。[方法 /过程]首先通过文献调研对现有科学实验元数据集进行总结;其次以植物学基因表达实验为例,通过用户访谈对实验室数据组织现状以及实验操作流程、特点等进行调查总结,初步构建植物学基因表达实验元数据描述方案;最后通过德尔菲法对元数据元素集进行打分、评估、筛选、确立。[结果 /结论]构建基于科学实验数据生命周期的植物学基因表达实验元数据模型,能够完整描述包含实验设计、实验数据等在内的科学实验基础信息,同时包括科研成果、数据访问等信息;基于该元数据模型不仅便于科学实验数据的组织,还有利于科学实验数据公开获取以及科研成果的追溯,为不同类型科学数据语义化关联提供支撑。
[Purpose / Significance] The status quo of scientific experimental data organization is chaotic and lost frequently, which seriously hinders the preservation, reuse and public access of scientific data. Therefore, a standardized scientific experimental metadata model is constructed to organize, save, retrieve and reuse experimental data Have great practical significance. [Methods / Processes] Firstly, the existing scientific experimental metadata sets were summarized through literature research. Secondly, taking the botany gene expression experiments as an example, the status quo of lab data organization and the operation flow and characteristics of the laboratory were investigated through user interviews. Preliminary construction of botany gene expression experiment metadata description scheme; Finally, by Delphi method for metadata element set scoring, evaluation, screening, established. [Result / Conclusion] The construction of a Metabolism Model of Botany Gene Expression Experiment based on Life Cycle of Scientific Experiment Data can completely describe the basic information of scientific experiment including experimental design and experimental data, including scientific research achievements and data access. Based on this metadata model, it not only facilitates the organization of scientific experimental data, but also facilitates the public access of scientific experimental data and the tracing of scientific research results, which provides the support for the semantic association of different types of scientific data.