Welcome to the test and training installation for DeiC Dataverse.

Please read the following information before continuing.

This installation serves test and training purposes only and should not be used for real data. DOI's do not resolve and are for illustration only. Availability of the service may be interrupted for maintenance and development. Deposited data may be deleted without further notice.

Feel free to browse published datasets. However, creating your own datasets will require approval from an administrator. If you are using DeiC Dataverse for the first time, you will need to follow these steps:

1. Log in with you institutional credentials.

2. Navigate to the Dataverse Collection that you need access to.

3. Use the "Contact" button and request access.

4. Wait for the administrator to assign you to the correct user group.

Once your request has been approved, you will be able to create and/or publish datasets within the respective Dataverse Collection according to the permissions defined in your user group.

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Apr 2, 2024 - Santa's Dumpster
JPEG Image - 79.0 KB - SHA256: fed77d70089746db99f2169819a40125b51e9b9a9c24a0ca5812274c57438098
Apr 2, 2024 - Santa's Dumpster
MS Powerpoint - 8.1 MB - SHA256: f00d5393d528c2ae779cb09f15c4c6cd766e9bd95a14f9bcc9f76d741f449789
Apr 2, 2024 - Test Dataverse Collection
LastAuthor1, FirstAuthor1; LastAuthor2, FirstAuthor2, 2024, "Replication Data for: Title", https://doi.org/10.21997/DEIC/595V4Y, DeiC Dataverse Demo, V1
DescriptionText1
Apr 2, 2024 - University of Copenhagen
Hüser, Falco; Belsø, René, 2024, "DeiC Dataverse - The Danish National Trusted Repository for Research Data", https://doi.org/10.21997/DEIC/UVMAZX, DeiC Dataverse Demo, V1
”DeiC Dataverse – A National Danish Trusted Repository for Research Data” DeiC Dataverse is a national digital repository, where researchers from Danish universities can register, publish, and archive their research data with structured metadata, including clear terms and conditi...
Adobe PDF - 1.5 MB - SHA256: eadb82dbd518ed4dd7cc65bf4d6fbddcf75b0c6418e1d637dab8f54c880838ee
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