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@Article{Rosa:2020:DaScSt,
               author = "Rosa, Reinaldo Roberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Data science strategies for multimessenger astronomy",
              journal = "Anais da Academia Brasileira de Ciencias",
                 year = "2020",
               volume = "93",
                pages = "e20200861",
             keywords = "Astronomical data science, big data, data lake, data cube, MMA.",
             abstract = "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",
                  url = "http://dx.doi.org/10.1590/0001-3765202020200861",
                 issn = "0001-3765",
             language = "en",
           targetfile = "rosa_data.pdf",
        urlaccessdate = "2020, Nov. 28"
}


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