Estruturas de representação para reuso de dados no contexto da ecologia de pesquisa: CRIS institucional

Abstract

Introduction: The Current Research Information System (CRIS), emerges as a response to the need for optimization in the management process of the large volume of data and information that permeate the life cycle of research. Such information is dispersed in multiple informational environments, of complementary characteristics, today isolated that can be integrated, and provide a broader panorama of research. Objective: In this context, the present study discusses the possibilities of data integration of different systems that store data related to research ecology, using representation structures and semantic infrastructure to compose a research ecology, constituted as an institutional CRIS. Methodology: As a methodological procedure, it uses the bibliographic review for the theoretical-conceptual basis of the study, aiming at contextualizing the research ecology infrastructure, especially the structures of representation, ontologies and FAIR principles. Results: The results are presented as a conceptual model of data integration of a research ecology, capable of supporting the composition of an institutional CRIS. Conclusions: The compatibility of representation structures available in multiple information systems and the use of existing technologies aiming to constitute an institutional CRIS, requires that the performance of the information professional is based on knowledge of information architecture, metadata, communication standards and protocols, interoperability and semantic web technologies, according to the model proposed in this study.