A GOVERNANÇA COMO CAMINHO PARA UMA CIÊNCIA DE DADOS DECOLONIAL
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Abstract
Data has established itself as a crucial element for information and knowledge. The United States and Europe define together practices and paradigms of data-driven architecture and science. Participating in the global data landscape implies using this architecture. There is a continuum that perpetuates the politics surrounding data and the technology that encompasses it. Reviewing the issues related to the production and circumstances that permeate the trajectory of data science, the influence of data governance on data policy, and the critical perspectives of this scenario helps us perceive that data-driven science practices neglect the needs of peripheral regions, historically marginalized in global decisions about science and technology. Through this article, we invite reflection on the role of the decolonial perspective in data science strategies and how this perspective can alter the governance patterns of countries (companies and governments). The article proposes that the decolonial approach can contribute to new data governance models, emphasizing inclusion and equity in data access and use.
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