Abstract: 【Purpose/significance】Scientific data has provided important basis and support for epidemic analysis, control and gover?
nance 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 ex? ample. After collecting and collating the scientific dataset metadata, the COVID-19 scientific dataset metadata framework is con?
structed. 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.