Elementos de ciclos de vida dos dados no percurso metodológico das teses brasileiras da área de ciência da informação: um estudo diagnóstico

• Autor(a) principal: Rodrigues, Débora Gomes de Araújo
• Data de Publicação: 2021
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFPB
• Texto Completo: https://repositorio.ufpb.br/jspui/handle/123456789/21993
• topic: Dados científicos; Ciclos de vida dos dados; Ciência da Informação; Metodologia científica; eScience; Scientific data; Data life cycle; Information Science; Scientific methodology; CNPQ::CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAO

Actions associated with the processing of scientific data can be frequently observed in the methodological steps inherent to the processes of scientific investigations. In this context, the aim of this study is to analyze possible intersections between the components of data life cycles and the methodological paths presented in Brazilian theses, in the field of Information Science. The thesis argues that these elements associated with the data life cycles belonging to the initiatives of DataONE, Digital Curation Centre and Data Documentation Initiative are present in the methodologies of the Brazilian theses in that area. For this purpose, a reference model of the intersection of these initiatives was developed to carry out the study. The methodological path of the research has a quali-quantitative approach; characterized in terms of means as bibliographic and documentary; and as for the purposes as a descriptive study. The content analysis technique was used to analyze the data with the support of the QDAMiner software. The results showed that some Postgraduate Programs in Information Science have difficulties in giving access to their own theses and in identifying the methodologies in their respective works. It was verified that the area data are distinguished when the nature for being textual, visualizations, multimedia, numbers, and software, in addition, for presenting the registration, observational, computational, and experimental origins. Regarding the presence of data life cycle elements, it was found that some steps, such as planning, collecting, and analyzing, are addressed more clearly in the literature dealing with methodologies in social sciences. However, it was not possible to identify that the researchers adopted the data management plan when planning the study. Another issue identified is that despite the step describing having presented a notorious percentage of participation in the methodologies, it does not mean that there is a robust documentation to describe these data, since at that time the random excerpts that corresponded to some metadata elements were coded. The steps to organize and ensure quality were also identified in the work. The steps to find and reuse were seen in a very subtle way and the step to preserve was not evidenced. Data has shown that researchers carry out some actions related to the stages of cycles instinctively and, therefore, there is a need for better access to the results of studies in the area. It is hoped that this research, by diagnosing the challenges found in Information Science in relation to the management of scientific data, through the proposed data life cycle, may awaken in researchers in the field the urgency to work on these elements in more detail in the methodological paths of their scientific work to contribute to the access, sharing and reuse of data. Thus, this study has an innovative impact, due to the originality of the proposal; an economic and social impact, by encouraging the reuse and access of data; and a cultural impact, as it proposes changes in researchers' practices regarding the use and reuse of their scientific data.