Purpose: The purpose of this study is to examine the development of Dataverse, a global research data management consortium. The authors examine specifically the institutional characteristics, the utilization of the associated data sets and the relevant research data management services at its participating university libraries. This evidence-based approach is essential for understanding the current state of research data management practices in the global context. Design/methodology/approach: The data was collected from 67 participants’ data portals between December 1, 2020, and January 31, 2021. Findings: Over 80% of its current participants joined the group in the past five years, 2016–2020. Thirty-three Dataverse portals have had less than 10,000 total downloads since their inception. Twenty-nine participating universities are included in three major global university ranking systems, and 18 of those university libraries offer research data services. Originality/value: This project is an explorative study on Dataverse, an international research data management consortium. The findings contribute to the understanding of the current development of the Dataverse project as well as the practices at the participating institutions. Moreover, they offer insights to other global higher education institutions and research organizations regarding research data management. While this study is practical, its findings and observations could be of use to future researchers interested in developing a framework for data work in academic libraries.
Information Discovery and Delivery
Chen, Hsin-liang (Oliver); Chiu, Tzu-Heng; and Cline, Ellen, "Academic libraries and research data management: a case study of Dataverse global adoption" (2022). PCOM Scholarly Papers. 2178.
This article was published in Information Discovery and Delivery.
The published version is available at https://doi.org/10.1108/IDD-04-2022-0028.
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