Scientific knowledge in big data context: reflections from Popper's epistemology

• Autor(a) principal: Silva Júnior, Eugênio Monteiro da
• Data de Publicação: 2020
• Outros Autores: Karpinski, Cezar, Dutra, Moisés Lima
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Brazilian Journal of Information Science
• Texto Completo: https://revistas.marilia.unesp.br/index.php/bjis/article/view/10936
• topic: Big data; Ciência; Epistemologia; Karl Popper; Big data; ciencia; Epistemología; Karl Popper; Big data; Science; Epistemology; Karl Popper

It presents the big data context and its relationship with scientific knowledge from the following question: Does the extraction of information from large volumes of data represent an epistemological change for science in general? The general objective is to reflect on the epistemological implications of the big data context based on the propositions of epistemologist Karl Popper. Specifically, the objectives are: a) to discuss the theoretical implications of science in the field of epistemology; b) to talk about the concepts of what was conventionally called "big data"; c) analyze the possible impacts of the big data context on scientific knowledge. Methodologically, it is an exploratory and descriptive study of a theoretical character to assist critical reflection about the big data phenomenon and its consequences for the scientific practice of any area of ??knowledge. As a result, a critical analysis is presented about a phenomenon little studied in the epistemological aspect. It is concluded that the big data context has revolutionized the decision-making processes in companies, but it is not possible to say that the same revolution occurs in the epistemological aspect.