Authors: Alicia García Giménez, Ana León Palacio, José Fabián Reyes Román, Juan Carlos Casamayor Ródenas
Tags: 2018, conceptual modeling
If there is a domain where data management becomes an intensive Big Data issue, it is the genomic domain, due to the fact that the data generated day after day are exponentially increasing. A genomic data management strategy requires the use of a systematic method, intended to assure that the right data are identified, using the adequate data sources, and linking the selected information with a software platform based on conceptual models, which allows guaranteeing the implementation of genomic services with quality, efficient and valuable data. In this paper, we select the method called “SILE” –for Search, Identification, Load and Exploitation-, and we focus on validating its accuracy in the context of a concrete disease, the Colorectal Cancer. The main contribution of our work is to show how such methodological approach can be applied successfully in a real and complex clinical context, providing a working environment where Genomic Big Data are efficiently managed.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-030-01391-2_36
