新冠肺炎科学数据集的元数据框架构建及可视化研究——以Re3data.org为例

Metadata Framework Construction and Visualization of COVID-19 Scientific Data Set:Taking Re3data.org as an Example

【目的/意义】在新冠肺炎疫情中,科学数据为疫情分析、管控和治理提供了重要的依据和支撑,为实现新冠肺炎科学数据的价值最大化,有必要构建新冠肺炎科学数据集元数据框架。【方法/过程】文章以Re3data.org中的新冠肺炎科学数据集为例,在对科学数据集元数据进行收集整理后,构建新冠肺炎科学数据集元数据框架,利用Protégé软件实现科学数据集本体构建,并借助图数据库Neo4j对所构建的知识图谱进行存储。【结果/结论】结果表明,对Re3data.org中的新冠肺炎科学数据集元数据进行关联融合,将元数据转化为多元化的数据存储及展示形式。【创新/局限】实现了新冠肺炎科学数据集知识图谱的构建,并且在图谱之中进行实体及其关系的查询检索和推理,细粒度地创建了科学数据集本体中各个部分属性、实体之间的关联,未来还应侧重跨平台科学数据集元数据的关联与融合。

【Purpose/significance】Scientific data has provided important basis and support for epidemic analysis,control and governance in the context of COVID-19.In order to maximize the value of scientific data on COVID-19,it is necessary to build a COVID-19 scientific dataset metadata framework.【Method/process】This paper takes the COVID-19 scientific dataset in Re3data.org as an example.After collecting and collating the scientific dataset metadata,the COVID-19 scientific dataset metadata framework is constructed.Protege software is used to realize the ontology construction of the scientific dataset,and the constructed knowledge atlas is stored by using the graph database Neo4j.【Result/conclusion】The results show that the metadata of COVID-19 scientific dataset in Re3data.org can be transformed into diversified data storage and presentation forms by association and fusion.Achieved【Innovation/limitation】COVID-19 science datasets,of knowledge map building and to entities and relationships in the map query retrieval and reasoning,fine-grained to create scientific data collection of body parts in the attribute,the link between the entity and the future should also focus on the cross-platform scientific data collection of metadata associated with fusion.