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Paper: Forensic Data Quality Assurance
Volume: 411, Astronomical Data Analysis Software and Systems XVIII
Page: 9
Authors: Shaw, R.A.; Seaman, R.L.; Lowry, S.; Lanning, H.H.
Abstract: Accurate metadata are essential for the scientifically meaningful interpretation of data products. Yet metadata from legacy NOAO data-taking systems are often incomplete and sometimes inaccurate. A new Data Quality Assurance (DQA) system for NOAO is proposed to ensure the best possible data and metadata accuracy, integrity, and integrability with the Virtual Observatory.
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