Interoperando Dados de Pesquisa do Dataverse para o FAIR Data Point

Abstract

Introduction: The expansion of open science initiatives generates the necessity of implementing research data repositories to make these inputs available and to be preserved. The FAIR principles provide guidelines for properly exposing data and enabling reuse. In this context, the metadata that describe these contents are of paramount importance, enabling acknowledgement and transparency over existing data. Thus, Dataverse data portals, such as LattesData, enable the rich metadata description of its datasets. Taking advantage of these descriptions with the use of semantic tools such as the FAIR Data Point, facilitate the query and transmission of metadata. Thus, it is important to have interoperability between portals of this nature. Methodology: This article aims to report the experience of exploring the feasibility and studies of the possibilities of automated integration of these portals through their metadata. Results: As a result, an analysis of the metadata and the construction of the crosswalk code responsible for compatibility and integration is presented. Conclusion: Thus, the metadata are made available in the FAIR Data Point catalog for queries in triples such as Sparql, demonstrating the importance and feasibility of the process under study.