Analysis of DSpace and Dataverse systems for open access research data repositories

Abstract

This paper presents a comparative analysis of DSpace and Dataverse software to share open research data carried out by RDP Brasil Project. An analysis of technological solutions emphasizes the functionalities that each software offers to support the creation of a research data repository that provides data sharing according to FAIR principles and that comply with trustworthy digital repositories. The systems are analyzed using OAIS model criteria classified into seven requirements: representation of repository environment; datasets representation; description and documentation of datasets; datasets creation; long term storage and preservation planning; access and use of datasets; and use, development and maintenance of the software. DSpace and Dataverse were investigated in-depth because they are the most common software adopted by digital repositories. We conclude that Dataverse has features for configuring various types of repository environments, including organizational hierarchies and distinct management policies for units or groups, with metadata and statistics schemes. DSpace also allows such configurations, with adaptations, because it was developed for institutional document repositories, and it is structured based on the concept of item collection.