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The Unstructured Data Sharing System for Natural resources and Environment Science Data of the Chinese Academy of Science
Author(s) -
Dafang Zhuang,
Wen Yuan,
Jiyuan Liu,
Dongsheng Qiu,
Ming Tao
Publication year - 2007
Publication title -
data science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.358
H-Index - 21
ISSN - 1683-1470
DOI - 10.2481/dsj.6.s770
Subject(s) - computer science , data sharing , scope (computer science) , metadata , usability , transparency (behavior) , data science , open data , world wide web , implementation , e science , open science , software engineering , medicine , alternative medicine , computer security , geometry , mathematics , pathology , human–computer interaction , programming language , grid , physics , astronomy
The data sharing system for resource and environment science databases of the Chinese Academy of Science (CAS) is of an open three-tiered architecture, which integrates the geographical databases of about 9 institutes of CAS by the mechanism of distributive unstructured data management, metadata integration, catalogue services, and security control. The data tiers consist of several distributive data servers that are located in each CAS institute and support such unstructured data formats as vector files, remote sensing images or other raster files, documents, multi-media files, tables, and other format files. For the spatial data files, format transformation service is provided. The middle tier involves a centralized metadata server, which stores metadata records of data on all data servers. The primary function of this tier is catalog service, supporting the creation, search, browsing, updating, and deletion of catalogs. The client tier involves an integrated client that provides the end-users interfaces to search, browse, and download data or create a catalog and upload data

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