科学大数据集成共享进展及面临的挑战

摘要

On the basis of analyzing the connotation and characteristics of scientific big data, this paper summarizes the main research progress of scientific big data integration and sharing, points out 5 aspects of the problem that are integrated integration mechanism, integrated shared quality control, associated integration and semantic search, data property rights and shared security, efcient data utilization, and puts forward coping strategies.%科学大数据集成共享既是数据密集型现代科学研究获取数据的重要途径,也是科学数据自身价值发掘和提升的必然选择,更是国家政策的顶层要求.在分析科学大数据内涵和特征的基础上,总结科学数据集成共享主要进展,指出科学大数据集成共享面临整合集成机制、集成共享质量控制、关联集成与语义搜索、数据产权与共享安全、数据高效利用等5个方面的问题并分别提出应对策略.