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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What is a Dataverse

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While A Dataverse repository is a platform, it also uses the term “Dataverse” as a term within the application. the software installation, which then hosts multiple virtual 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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Code Examples

Please use the "code snippet" in the + button when creating code examples. 
Also please do not go past the width of the table. 
This is to prevent scroll bars appearing This is the Max number of code lines to show an example

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Two Column Tables are nice ways to separate content/ Background info along with an image example on the same “Slide”. Please notice the table width. This should stop scroll bars from appearing Bullets are nice to include for distinct points yep they sure are This is 14 lines

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Alternatively No Table

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Finally The End