收稿日期: 2015-05-21
修回日期: 2015-06-20
网络出版日期: 2015-07-05
Research on Construction of Metadata Model for Scientific Experimental Data: An Example as Gene Expression Experiment of Botany
Received date: 2015-05-21
Revised date: 2015-06-20
Online published: 2015-07-05
[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。
常颖聪 , 何琳 . 科学实验数据元数据模型构建研究——以植物学基因表达实验为例[J]. 图书情报工作, 2015 , 59(13) : 117 -125 . DOI: 10.13266/j.issn.0252-3116.2015.13.017
[Purpose/significance] The scientific experimental data lacks of suitable and effective organization and loses easily and frequently, which seriously hinders preserving, reusing and publicly accessing the scientific data. So to build the normative scientific experimental data metadata model is of great significance to organize, preserve, retrieval and reuse experimental data.[Method/process] Firstly, this paper summarizes the existing scientific experimental metadata models by literature investigation. Secondly, it establishes a metadata description scheme of botany gene expression experiment, by investigating and summarizing organization condition of experimental data, operating process and characteristic of experiment through expert interviews. Lastly, it scores, evaluates, selects and determines the metadata factors by Delphi method.[Result/conclusion] This paper builds a metadata model for botany gene expression experiment based on scientific experimental data lifecycle. The model can completely describe the basic information such as experiment design and data, and other information such as scientific achievements and data access. The metadata model not only can help organize the scientific experimental data, but also publicly access experimental data and review achievements, to provide support for semantic association of different types of scientific data.
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