METADATA ANALYSIS IN RESEARCH DATA REPOSITORIES
Keywords:
Open Science, Metadata management, Research data repositories, Data reuseAbstract
The demand for transparency and accessibility in research drives the Open Access movement and democratizes research results and data. Data repositories are essential, but their effectiveness depends on quality metadata to ensure discovery, validation, and efficient use. Despite advances, many repositories face challenges such as standardization and detailing of metadata. This paper proposes an exploratory and descriptive analysis of ten research data repositories, focusing on the availability and detailing of metadata, to identify gaps in the management of Open Access research data. The analysis showed that few repositories require taxonomies, keywords, or license specifications, making it difficult to organize and reuse data. Resource classification also presented significant gaps. It is concluded that advances are needed to increase accessibility, transparency, and integrity in Open Science, favoring collaboration and impact in the scientific community.
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