Publication details
Data Quality in Biodiversity Information Management
| Authors | |
|---|---|
| Year of publication | 2007 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 3rd Internationl Summer School on Computational Biology |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | data quality; data uncertainty; environmental information; biodiversity data management |
| Description | Imprecision of biodiversity data is an important characteristic feature of environmental data monitoring. When making evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal decision mistake. The important task of computing and current information and communication technology is to deal with the primary data quality and uncertainty and thus to reduce the risk of conclusion or decision mistake. At present new approaches and methodologies to handle environmental data quality and uncertainty are explored as opposite to standard ones. The paper presents comparison of such new approach against European Environment Agency and U.S. Environmental Protection Agency standards. The new approach brings more modular way of dealing with data quality and is supposed to bring better results and less workload then standard approach |
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