Web-Based Data Integration and Interoperability for a Massive Spatial-Temporal Dataset of the Heihe River Basin EScience Framework
文献类型:期刊论文
作者 | Guo, Qingchun1,2,4; Min, Yufang3; He, Zhenfang3,4; Zhang, Yaonan3 |
刊名 | ADVANCES IN METEOROLOGY
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出版日期 | 2015 |
卷号 | 2015期号:2015页码:982062 |
ISSN号 | 1687-9309 |
DOI | 10.1155/2015/982062 |
文献子类 | Article |
英文摘要 | To solve the messy problem of data types and form a unified data-processing solution, data in the Heihe River Basin were first classified into five types to integrate them and achieve unified management of data and metadata, preventing the loss of metadata, in the data model of eScience framework. Considering many of the challenges that exist in the construction of the online spatial-temporal data integration and interoperability eScience platform, we used the open data interfaces and standards such as the Common DataModel (CDM) interface, common scientific data modelling (i.e., NetCDF, GRIB, and HDF), and Open Geospatial Consortium (OGC) standards. Through the eScience platform, we also provided online data processing tools by collecting free tools (e.g., NetCDF tool, quality control tool). This eScience platform enables researchers to make full use of scientific research information and results and facilitates collaboration, especially between the GIS community and other members of the earth science community, with the purpose of establishing an online platform of uniform spatial data from the Heihe River Basin via common scientific data modelling. |
WOS关键词 | E-science ; Data Infrastructure ; Challenges ; Discovery ; Services ; Model ; Management ; Features ; System ; Sensor |
WOS研究方向 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000363147400001 |
出版者 | HINDAWI PUBLISHING CORP |
源URL | [http://ir.ieecas.cn/handle/361006/9235] ![]() |
专题 | 地球环境研究所_黄土与第四纪地质国家重点实验室(2010~) |
通讯作者 | Zhang, Yaonan |
作者单位 | 1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China 4.Liaocheng Univ, Liaocheng 252059, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Guo, Qingchun,Min, Yufang,He, Zhenfang,et al. Web-Based Data Integration and Interoperability for a Massive Spatial-Temporal Dataset of the Heihe River Basin EScience Framework[J]. ADVANCES IN METEOROLOGY,2015,2015(2015):982062. |
APA | Guo, Qingchun,Min, Yufang,He, Zhenfang,&Zhang, Yaonan.(2015).Web-Based Data Integration and Interoperability for a Massive Spatial-Temporal Dataset of the Heihe River Basin EScience Framework.ADVANCES IN METEOROLOGY,2015(2015),982062. |
MLA | Guo, Qingchun,et al."Web-Based Data Integration and Interoperability for a Massive Spatial-Temporal Dataset of the Heihe River Basin EScience Framework".ADVANCES IN METEOROLOGY 2015.2015(2015):982062. |
入库方式: OAI收割
来源:地球环境研究所
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