NDLI: Developing a data sharing platform for Ecological Risk Assessment: A case study for coastal wetland in China

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Developing a data sharing platform for Ecological Risk Assessment: A case study for coastal wetland in China

Content Provider	Semantic Scholar
Author	Jing, Jing
Copyright Year	2008
Abstract	Since last two decades, due to rapidly changing environmental conditions, more attention is being paid to assess these changes. One such recent method is Ecological Risk Assessment (ERA). ERA has become more and more important as its capability for helping decision-maker to manage ecological risks according to risk priorities. However, it is seldom used as a decision tool in China because it is a time consuming process in which much time has to be spent on accessing the various needed data. A data sharing platform, which can promote widespread use of spatial data and can help overcoming the problems related with availability, access and interoperability of spatial datasets, is considered as a efficient way to solve the information management issues of ERA. Facing various ERA user requirements, the data sharing platform can not satisfy all of them. Therefore, users and user requirements priority play an important role in the planning phase. User requirements and technical requirements were identified with a questionnaire survey and were analyzed for priorities. These information needs of users are studied and analyzed under the subject of information system planning. Quality Function Deployment (QFD) is one such technique in this category which helps in prioritizing users, user requirements and converting them to technical requirements. QFD has been applied to software design, household appliances, cars manufacture etc. This research attempts to use QFD for designing a data sharing platform. The results of QFD are used for developing a data model, system architecture, and a process model for the data sharing platform. As a case study, this methodology is applied to develop a data sharing platform for regional ERA in coastal wetland in China. The methodology seems suitable, but more work should be done to test the method using a larger sample among the shareholders.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://webapps.itc.utwente.nl/librarywww/papers_2008/msc/gim/jingjing.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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