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- W19166698 abstract "Whether an astronomer performs his or her own observa- tions, or uses previously observed data extracted from an archive, the question Can I meet my scientic objectives using this data? must be answered. To do this, four categories of quality should be evaluated: ob- serving system quality, observability, raw data quality and derived data quality. Devices and individual software modules must be operating prop- erly to complete the observation when it is scheduled. The raw data must meet global standards for completeness and accuracy, and specic stan- dards set by the astronomer. Additionally, the datasets must be accessible and sucien tly complete for the science to be performed. A framework for managing quality based on data quality rules is presented, derived from an 18-month prototyping exercise at the Robert C. Byrd Green Bank Telescope (GBT) in Green Bank, WV. A primary goal was to retain the astronomer's control over his or her evaluations. These quality manage- ment principles could be extended to any telescope or data production facility for which an interpretation of data is critical." @default.
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- W19166698 date "2005-01-01" @default.
- W19166698 modified "2023-09-23" @default.
- W19166698 title "A Framework for Telescope Data Quality Management" @default.
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