摘要
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。
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 out5aspects of the problem that are integrated integration mechanism,integrated shared quality control,associated integration and semantic search,data property rights and shared security,efficient data utilization,and puts forward coping strategies.
作者
诸云强
潘鹏
石蕾
孙凯
王筱萱
杨杰
ZHU Yunqiang;PAN Peng;SHI Lei;SUN Kai;WANG Xiaoxuan;YANG Jie(State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101;Appraisal Center for Environment and Engineering, Ministry of Environmental Protection, Beijing 100012;State Environmental Protection Key Laboratory of Numerical Modeling for Environment Impact Assessment, Beijing 100012;Center of National Science and Technology Infrastructure, Beijing 100862;University of Chinese Academy of Sciences, Beijing 100049;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023;Collaborative Innovation Centre for Baiyangdian Basin Ecological Protection and Jingjinji Regional Sustainable Development Hebei University, Baoding 071002)
出处
《中国科技资源导刊》
2017年第5期2-11,共10页
China Science & Technology Resources Review
基金
科技基础性工作专项重点项目"科技基础性工作数据资料集成与规范化整编"(2013FY110900)
国家自然科学基金重点项目"网络文本蕴含地理信息理解与知识图构建"(41631177)
贵州省公益性基础性地质工作项目"贵州省岩溶地下水系统功能可持续利用性研究"(黔国土资地环函[2014]23号)
贵州省公益性基础性地质工作项目"贵州省国土资源可持续发展战略研究"(黔国土资源函[2016]269号)
关键词
科学大数据
数据共享
关联集成
数据质量
开放安全
scientific big data
data sharing
associative integration
data quality
open and safe
