URATION AND MANAGEMENT OF SCIENTIFIC DATA IN REPOSITORIES
A CASE STUDY OF CLIMATOLOGICAL DATA AT THE UNIVERSIDADE FEDERAL DE GOIÁS
Keywords:
scientific data, digital repositories, open access, data curation, artificial intelligenceAbstract
Recognizing that Open Science presents Science and Technology Institutions (STIs) with new challenges related to the management of scientific data, this study aims to evaluate and validate strategies for the integration, management, and dissemination of large volumes of scientific data in institutional repositories, through a case study of the Center of Excellence in Studies, Monitoring, and Environmental Forecasting of the Cerrado at the Universidade Federal de Goiás (CEMPA-Cerrado/UFG), considering the FAIR principles and the use of Artificial Intelligence in data curation. A qualitative, applied approach is adopted, structured as a case study. The research was conducted by a multidisciplinary team of researchers in the fields of Information Technology and Information Science, who developed a proof of concept to validate the integration of CEMPA-Cerrado/UFG’s scientific workflow with the UFG Research Data Repository (RDP/UFG). The results highlighted challenges related to infrastructure, interoperability, and semantic curation, as well as opportunities regarding data visibility, metadata customization, the use of AI, and the replicability of the proof of concept. The role of a data manager emerged as a key factor for the effective implementation of FAIR principles. The study contributes a replicable conceptual model for other ICTs dealing with similar demands.
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