Data Science Strategies for Multimessenger Astronomy.

Published in: Anais da Academia Brasileira de Ciencias (2020)

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.

Keyphrases

big data
electronic health record
artificial intelligence
machine learning
public health
data analysis