Data Science Strategies for Multimessenger Astronomy

REINALDO R. ROSA
2021 Anais da Academia Brasileira de Ciências  
This article aims to identify and suggest data science strategies to strengthen scientific research in astronomy. The improvements in data workflow performance that can be provided by these strategies can be crucial to the multimessenger astronomy (MMA). A special focus is given to the treatment of raw data in the context of big data networks for BRICS astronomy initiatives. A preliminary design of a prototype that incorporates an MMA data cube into a data lake system is presented.
doi:10.1590/0001-3765202020200861 pmid:32997040 fatcat:4mouuchbjzdpxjzevd3eojbkhy