To use the service it is necessary to log in with you valid institution credentials to AcademicCloud.

Users do not have to install anything while using the web-interface.

Here is the link to the web interface.

• Once you logged in, you can create either a new “dataverse” (a data collection) or a “dataset” (which is a package containing a metadata section, and arbitrary number of files) by clicking the “Add Data” button.
• By default the new dataverse or dataset will be created in the root dataverse, but from the create form you can use the “Host Dataverse” dropdown menu to choose a different Dataverse for which you have the proper access privileges. Attention: You will not be able to change this selection after you create your dataverse or dataset.
• Upload then any type of quantitative or qualitative data (in any format).
• The “dataverses” contain one or more datasets.

The “My Data” section of you account page displays a listing of all the dataverses, datasets, and files you have either created, uploaded or that you have a role assigned to.

• Add Metadata to your data so other users can understand what they get, when they take a look at your data
• A persistent identifier is automatically reserved for your uploaded data which will make your data easily findable and citable.
• When you are ready to share with others, click on “Publish”. It will activate the identifier number and the metadata will be published.

The dataverses provide you with rights management. You can set up groups with different roles, and you can attach roles to users.

You can read the official userguide for the Dataverse service online.

Q: What is a “dataverse”?

A: A dataverse is a kind of container for your datasets and/or dataverses.

Q: What is a “dataset”?

A: A dataset is a container for your data, documentation, and code.

Q: How do I benefit if I create a dataverse?

A: Having a dataverse allows you allows you to organize, share and archive your data, while also being able to display it on your site. It ensures that you receive credit for you data through formal scholarly data citations. Your web visibility is also increased since ist is searchable alongside others scholars' research data. It also helps satisfying data sharing requirements from funders and publishers.

Q: Do I have full control of my datasets?

A: You have full control of your datasets, from who you share your data with and when to publish them.