Introduction: The distribution of research data across a wide range of repositories can make accessibility a complex issue. Difficulties can range from ownership of data and intellectual property to security and maintenance of the data. This becomes a greater challenge since hosting collections of large datasets is often a significant financial burden. The Wyoming Data Repository meets this long-standing need from Researchers at the University of Wyoming and around the state. This service provides a consolidated repository for research datasets produced by UW and potentially other state entities. In addition, it provides ongoing support from qualified curators at the UW Libraries Digital Collections Office and technical support from experienced professionals at UW's Advanced Research Computing Center. The repository is hosted on-premise in a cost-effective, sustainable manner, within UW ARCC's advanced infrastructure. Support, collaboration and buy-in from all entities associated with the project ensure that data placed in the repository is well maintained, more easily searchable and highly available. This workshop covers, signing up, logging in, and uploading a dataset to The Wyoming Data Repository.
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What is Dataverse?
The Wyoming Data Repository is powered by the Dataverse Project. The Dataverse Project is different than what many may know the term Dataverse as the Microsoft product. Dataverse is an open source web application to share, preserve, cite, explore, and analyze research data. It facilitates making data available to others, and allows you to replicate others' work more easily. Researchers, journals, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility. In this section of the tutorial, we will cover some of the background information and terminology that is relevant to using the Wyoming Data Repository.
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A Dataverse repository is the software installationplatform, which then hosts multiple virtual data archives. Each of these archives contains a collection, a collection contains datasets, and each dataset contains descriptive metadata and data files. However, these archives are referred to within the Dataverse ecosystem as a “dataverse” and each dataverse can contain multiple sub-dataverses. For the sake of clarity, we will only refer to the “University of Wyoming Dataverse Collection” throughout the rest of the tutorial and if there is any interest in creating a separate dataverse or sub-dataverse please contact wyodata@uwyo.edu to consult with the UW-libraries on the best path forward.
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