Research on Interoperability Models between Scientific Data Centers

doi:10.11871/jfdc.issn.2096-742X.2022.01.006

Abstract

Abstract:

[Objective] This paper aims to meet the need for data interoperability in cross-disciplinary scientific research, to solve the problem of duplication of data resource storage, and to promote the effective use of interdisciplinary data resources. [Methods] This paper investigates the existing scientific data interoperability technologies and models and the current status of interoperability between scientific data centers at home and abroad. The characteristics of China’s scientific data centers and the applicable conditions of various interoperable models and technologies are analyzed. [Results] Seven interoperability models are proposed, including the switching-across model based on metadata harvesting, the metadata registry model based on the metadata framework, the Linked Data model based on Multi-domain ontology mapping, the metadata mapping model, the ontology-based model, the existing system re-integration model and the unified information system model. Additionally, we provide recommendations for implementing the interoperability model of the scientific data centers in our country. [Conclusions] The interoperability models between scientific data centers proposed in this study are implementable, which can greatly promote the data sharing and utilization of cross-disciplinary scientific data resources and have great significance and value.

Key words: scientific data interoperability, scientific data center, interoperability model, metadata, mappings, controlled vocabularies

LU Yihang,LI Guoqing,CHEN Zugang. Research on Interoperability Models between Scientific Data Centers[J]. Frontiers of Data and Computing, 2022, 4(1): 69-83.

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