Comparing Open Data Repositories

Abstract

Open Data is one of the main concepts of Open Science, which has the purpose to make scientific research artifacts accessible for everyone. Open data provides recommendations and practices to get access and use data from scientific researches, in a free, permanent, citable, auditable and interchangeable way. To facilitate the data management, it is important to store them in a repository. Considering this context, this paper provides a comparison among five known open data repositories. We performed the comparison taking into account a set of criteria, such as, data format constraints, digital identifier, versioning of published datasets, curators of data collections, metadata schema, versioning and exportation, storage limit, paid services, redundancy and preservation, access controls and APIs. We present results and discussions, in terms of such criteria.

A Protocol Based on Systematic Mapping Studies for Searching Health Applications in Non-Academic Repositories

“…Therefore, none of them encompass non-academic repositories such as application and source code repositories, which host and give free access to application source codes as well as their executable formats. This way, non-academic repositories can provide data management with security features and offer plugins for their use (Costa et al, 2021), enabling the practical benefits expected from the use of open source code 2 .…”