A Review of Dataverse and Zenodo: Enhancing Open Science Through Metadata Standards, Community Engagement, and Computational Reproducibility
Ram Vishwas Chourasiya, Madaiah Krishnamurthy, Subhash Reddy B
International Journal of Web Applications, Vol. 16, No. 3, 2024.
DOI: https://doi.org/10.6025/ijwa/2024/16/3/92-103
Link: https://www.dline.info/ijwa/fulltext/v16n3/ijwav16n3_3.pdf
Abstract:
Open research data repositories are crucial in preserving, sharing, and managing research outputs. The paper compares two leading data repositories: Dataverse and Zenodo. The study highlights their strengths and differences by examining their practices, norms, functionalities, and impacts. The key comparison areas include metadata standards, community engagement, computational reproducibility, and overall impact on research visibility and discoverability. The findings show that the Dataverse is highly user-friendly and supports reproducibility well, Zenodo stands out for its broad scope and effective community engagement. Both repositories are essential to the research ecosystem, meeting diverse needs and promoting open science. The study emphasizes the need for ongoing exploration of repository practices to support collaborative research.