Scientific Data Typology from Brazilian Thesis in the Information Science Area: investigating its nature and origin

• Autor(a) principal: Rodrigues, Débora Gomes de Araújo
• Data de Publicação: 2022
• Outros Autores: Anjos, Renata Lemos dos, Dias, Guilherme Ataíde
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Encontros Bibli
• Texto Completo: https://periodicos.ufsc.br/index.php/eb/article/view/84729
• topic: Vincent van Gogh; Saúde mental; Reabilitação; Saúde coletiva; Arte.

Objective: To classify the scientific data typology obtained in the Brazilian Information Science theses, according to their nature and origin during the period between the years of 2012 and 2020. Methods: A quali-quantitative approach was used; characterized as to the means as a bibliographic study and as for the purposes as descriptive research. The content analysis technique was adopted to analyze the data with the support of the QDAMiner software. Results: The research shown that the data in the IC area are diversified in relation to its nature, as they are composed by textual data, visualizations, multimedia, numbers, and software. These data also differ about its origin, record, observational, computational, and experimental data were identified. Record and observational data were predominant. Conclusions: Given the reality presented by the study, which demonstrated the data diversity and division regarding its origin, especially due to the observational data presence, which are the most difficult to replicate, it is expected that the IC area will become aware of the importance of properly treating the data so that they can be reused in new long-term research.