The Dataverse Network Project

A Scholar dataverse is used by any individual researcher, independent of status or age. When you create a Scholar dataverse, you enter your first and last name, which become the default name for your dataverse. Also, your dataverse is assigned automatically to the Scholar group.

Basic dataverses usually are used by research groups, organizations, journals, or other individuals and groups. You can give any name to a Basic dataverse, and can assign it to any group other than Scholar.

Other than the default name and the group assignment, there are no differences between Basic and Scholar dataverses.

See topics: Create a Basic Dataverse and Create a Scholar Dataverse

To invite others to contribute data or journal studies to your dataverse, place a contribution invitation link on your dataverse homepage. If you know a specific user who you want to contribute, you can add that user as a contributor. Then provide the contributor with the username and password you created, and include instructions on how to add a study and upload a dataset.

See topics: Enable Contributions Invitation and Users, Permissions, and Release Dataverse

To contribute data, click the Become a Contributor link on the homepage of the dataverse to which you choose to contribure. Contributers can perform the following actions, for their own studies only: add or delete studies and upload study files; view and edit studies; set permissions to restrict access to some or all study files.

You can contribute your data now to the Murray Research Archive Dataverse.

See topics: Become a Contributor and Users, Permissions, and Release Dataverse

To cite references from a dataverse, view the study's Cataloging Information panel and locate the How to Cite text. To cite references to a specific data set, click the study's Documentation, Data and Analysis tab, and then click the View Data Citation icon for the selected data set.

See topics: Data Citations and Cataloging Information (Citation Fields)

To find a study and access its data, either search or browse the contents of a dataverse. To browse or search the contents of an authentic Dataverse Network, go to the IQSS Dataverse Network (http://dvn.iq.harvard.edu/dvn).

See topic: Browse and Search a Dataverse

Individual dataverses are self-contained data archives hosted virtually on the Dataverse Network website. That is, the dataverse study files reside where the Dataverse Network software is installed. However, as an administrator you can customize your dataverse pages with a look and feel that matches your own branded website, with navigation links to and from your site and the dataverse. As a result you can integrate the styles of your dataverse web page to present the same appearance as your branded website.

See topic: Edit Banner and Footer

To create your own dataverse, go to the IQSS Dataverse Network (http://dvn.iq.harvard.edu/dvn), and click Create Your Own Dataverse in the top-right corner of the page.

See topic: Create Dataverses

After you find a study, you can access it's cataloging information and the content of the study files. Some study files include subsettable files, which are files that you can subset and analyze online using dataverse tools. You can download a study file as is, or you can subset it by variables or observations, translate it into a convenient format, and download the subset. Additionally, you can learn how to cite the study or use our online statistical analysis tools. For analysis, the Dataverse Network offers a graphical user interface to Zelig, a powerful R-based statistical computing tool.

See topics: Dataverses, Studies, and Data and Subset, Analyze, and Download Data Sets