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Paper: Science Mining the ALMA Archive
Volume: 527, Astronomical Data Analysis Software and Systems XXIX
Page: 171
Authors: Teuben, P. J.; Pound, M. W.; Mundy, L. G.
Abstract: We are creating a prototype Science Query Database that enables broad science-driven queries of ALMA projects. Our goal is to enable science discovery with ALMA archival data by enhancing the users' ability to identify, access, and examine relevant data sets through database access to scientific and observational metadata. We will use ADMIT as the engine to generate additional metadata. Computations will be done on AWS. This ALMA development study will be a design and prototype implementation as a pathfinder for a full ALMA implementation. We expect to release this in autumn 2020 and report back at ADASS next year.
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