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Title:
Forensic Data Quality Assurance
Authors:
Shaw, R. A.; Seaman, R. L.; Lowry, S.; Lanning, H. H.
Publication:
Astronomical Data Analysis Software and Systems XVIII ASP Conference Series, Vol. 411, proceedings of the conference held 2-5 November 2008 at Hotel Loews Le Concorde, Québec City, QC, Canada. Edited by David A. Bohlender, Daniel Durand, and Patrick Dowler. San Francisco: Astronomical Society of the Pacific, 2009., p.9
Publication Date:
09/2009
Origin:
ASP
Bibliographic Code:
2009ASPC..411....9S

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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