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2020–2021 Project on Function Expansion, Maintenance, and Integration of The Raw Data Share Warehouse System (RDSW)

Absrtact
The Raw Data Share Warehouse System (RDSW) is established to promote and develop the digital services for collecting and managing the raw data produced by environmental protection projects, so that the raw data can be preserved appropriately and completely for long-term preservation and application, embodying the spirit of “designated sharing.” In 2021, this project integrated the case-closing procedures of both the RDSW and the Environmental Protection Project Achievement Report (EPR) systems to provide one-stop services. The contractors and case officers could complete all the case closing operations in one system. In addition to comprehensively rebuilding the RDSW with the .Net Core framework, a new single portal website was established to meet the practical requirements. Several functions, including project overview interface, information and content keyword query, statistical data display, and online customer service management, were optimized. In response to the operation process adjustments due to system merging, this project assisted in revising the L-L-2-4-02 Standard Operating Procedures for Project Data Collection by the Environmental Protection Administration, Executive Yuan. Concerning the increasing demand on the storage capacity of monitoring data from environmental impact assessment cases, the Environmental Protection Administration (EPA) established a method connecting data with the Environmental Impact Assessment Inquiry System. The EPA also developed an online function for starting new cases. The newly added function Data Map provided numerous services, such as visualizing statistical maps, viewing periphery environmental impact assessment (EIA) case data, viewing EPA monitoring data, and overlaying maps of various sensitive areas. These functions allowed EIA committees to view the monitoring data of each EIA case in the Data Map, maximizing the leverage of EIA case monitoring data.
Keyword
Raw data, data warehouse, data display
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