NTNU Open Data
On this page you can find information about how you can archive your data set in the institutional repository NTNU Open Research Data.
About NTNU Open Research Data #
NTNU Open Research Data is an institutional repository for open data from all fields and disciplines. The archive is part of DataverseNO, which is operated by UiT The Arctic University. NTNU Open Research Data adheres to the guidelines and policy of DataverseNO, and all data sets will be curated before publication. 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 NTNU Open Research Data #
You can log in to NTNU Open Research Data with FEIDE (you NTNU user). We stronlgy recommend that you read the DataverseNO deposit guidelines before you start uploading data. Here are some aspects that are often overlooked, which might lead to your data set being returned for adjustments. Having a look at some of the already published data sets in DataverseNO for examples of how to describe and organize data, is useful.
- 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 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.
- 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.
See also #
- Research Data @NTNU - if you have questions about open data, or if you have suggestions for changes to the web page.