Key points are not available for this paper at this time.
The opening of scientific data proposed by the Open Science movement presupposes planning for data collection, organization and treatment, aiming at sharing, accessibility and data reuse. Data repositories have been planned as structures necessary to enable open access to data. This study aimed to analyze the influence of data repositories on the opening and sharing of scientific data proposed by the Open Science movement. The Methodi Ordinatio, developed to organize a portfolio of scientific publications, was adopted to analyze the subject 'Data Repositories' and 'Open Science'. The studies were ranked using the InOrdinatio index and the 15 best ranked studies were included and analyzed with Bardin content analysis. Most studies describe the structure involved in data repositories in the biological, chemical and health areas. The others addressed data reuse, data organization and analysis processes and tools, and data selection and classification algorithms. The units of analysis selected in the content analysis were categorized as open access, information technologies, data processing and information retrieval. Systems (processes and structures), metadata standards, ontologies, semantic web, data types and their management were addressed by these studies. It is concluded that open data repositories are growing rapidly. The production with the greatest impact has occurred in the biological and biomedical/health areas and highlights the structure involved in repositories in the area. Data repositories provide systems for depositing, managing, searching, accessing and reusing data based on processes and technologies, also developed in open source softwares, in alignment with the proposed Open Science model.
Rodrigues et al. (Thu,) studied this question.