NTNU Open Data - Kunnskapsbasen
NTNU Open Data
On this page you can find information about how you can archive your data set in NTNU's institutional repository in DataverseNO.
About DataverseNO - NTNU
The NTNU collection in DataverseNO is a manually curated institutional repository for open data from all fields and disciplines. DataverseNO is operated by UiT The Arctic University. DataverseNO is a Core Trust Certified repository and assigns DOIs (Digital Object Identifiers) to data sets. The standard license is CC0 (Creative Commons Zero), but other open licenses can be considered if needed.
How to archive in DataverseNO
You can log in with FEIDE (your NTNU user). We recommend that you read the DataverseNO deposit guidelines before uploading your data. As the guidelines are quite comprehensive, we have listed some important aspects which are often overlooked. Having a look at some of the already published data sets in DataverseNO is also useful in order to get an overview of how to describe your data according to DataverseNO's guidelines.
Note that there are limited options for changing file structure and data once the dataset is uploaded. You should therefore finalize your dataset according to the guidelines before uploading.
A single dataset cannot contain more than 300 files. If you need to deposit more files, you may opt for one of these alternatives:
- Pack the files into one or more (max. 300) container files.
- Distribute your data files across multiple (sub-)datasets.
If your files are organized in folders (and sub-folders) and you want to keep the folder structure in your dataset, click the Upload a Folder button. After that, click on Select a Directory andselect the folder which contains the folders and files you want to upload. Note that the top level in the selected folder will not be uploaded/reflected in the dataset, only the content in the folder.
- All data sets should be accompanied by a ReadMe file. This file should be in plain text format (.txt) and include the prefix 00 to ensure that it appears on the top of the file overview. See deposit guidelines for more information about the ReadMe.
- Some file formats are better suited for long term archiving. If your data set is not one of the preferred formats, we recommend to converting to one of these. The original file format can be uploaded in addition.
- The size of individual files should not exceed 100 GB. Bigger files can create problems for others when it comes to downloading and reusing data.
- A file upload should not exceed 200 GB in total size.
- Note that all names should be in the format Family name, Given name.
- Be generous with keywords, and add them separately using the +-button.
- The description oshould provide a general overview over the content and context of the data set.
- After saving the draft, you can add additional metadata with the "Add + Edit Metadata" button. Se the deposit guidelines for recommended metadata.
- The deposit guidelines has in-depth information about the metadata fields.
When you are satisfied with your data set, send it for review. A curator at the University Library will look through it and either publish or return it for adjustments. If you need to give others access before publication (for example journal editors, reviewers or collaborators), contact Research Data @NTNU.
- Research Data @NTNU - if you have questions about open data, or if you have suggestions for changes to the web page.