Mapping and description of characteristics of open scientific data multidisciplinary repositories

Abstract

The sharing scientific data makes it possible to accelerate the construction of new knowledge, increasing the efficiency of resources, expanding the possibilities for reuse and reproducibility of research. In order to present a set of information with characteristics of open scientific data repositories, it was defined as an objective for this study to characterize and map open scientific data repositories as an alternative for institutional decision-making in the field of scientific data management. An exploratory-descriptive, qualitative study was carried out and, in relation to technical procedures, a bibliographic-documentary survey was carried out, where six open scientific data repositories were analyzed: DANS, DataHub, Harvard-Dataverse, Dryad, Figshare and Zenodo. Based on information collected from the official websites of each of these repositories between April and May 2021, and the following characteristics were observed: foundation and responsibility for maintaining the repository; platform languages ??and accepted datasets, social media and the possibility of direct content sharing; file types and formats accepted, usage limits, content curation; persistent identifiers of content, authors, and research funding information; version control; usage metrics; integration with other applications and costs. The analysis of the sites generated a table, available in the Zenodo repository, with the description of the data of each repository from the categories. The results presented are intended to assist researchers in their choice of an open scientific data repository that allows the sharing of research data.