The procedure develops over different steps and involves several actors across all ALMA locations; it is made possible by the support given by dedicated software tools and a complex database of science data, meta-data and operational parameters. The life-cycle of each involved entity is well-defined, and it prevents for instance that "bad" data (that is, data not meeting the minimum quality standards) is ever processed by the ALMA pipeline. This paper describes ALMA's quality assurance concepts and procedures, including the main enabling software components.
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A. M. Chavan, S. L. Tanne, E. Akiyama, R. Kurowski, S. Randall, B. Vila Vilaro, E. Villard, "ALMA quality assurance: concepts, procedures, and tools," Proc. SPIE 9910, Observatory Operations: Strategies, Processes, and Systems VI, 99101H (15 July 2016);