Why use DataverseNO?¶

Below are some of the key reasons to use DataverseNO to archive, publish, and reuse research data:

A certified repository Curation and preservation Credit and visibility

A certified repository¶

DataverseNO is managed and developed in line with recognized practices in research data management. It was CoreTrustSeal certified in 2020 and is currently renewing its certification. CoreTrustSeal is a seal of quality for trustworthy and sustainable repositories.

Curation and preservation¶

All datasets deposited in DataverseNO are curated by qualified research data management staff (curators) at the partner institutions before publication.

Curators review each dataset and advise users on how to best align with the DataverseNO deposit guidelines. The guidelines are based on the FAIR Principles to support Findable, Accessible, Interoperable and Reusable data, and cover aspects such as:

• Metadata and documentation

• File organization

• File formats

• Licensing

The curation process distinguishes DataverseNO from many other digital repositories, where deposited data are not reviewed before publication. However, curation is not an assessment of the scientific quality of your research; it is a support service to help align your data with recognized principles and practices for data archiving, publishing, and preservation.

The curation process begins when you submit your dataset draft for review. A curator from your institution will then look through your submission and respond by email within three working days.

The curator typically returns a curation report containing recommendations and suggestions for improvements. If needed, you make the recommended changes, or you can explain why you do not agree with the suggestions. When you are done with the revisions, you must submit the dataset once again.

When the curator has approved the final dataset and you have confirmed that it is ready for publication, the curator will publish it. All DataverseNO curators are committed to helping you succeed!

Meet our curators

In addition to initial curation, DataverseNO ensures long-term preservation of published datasets, as described in the DataverseNO Preservation Policy. Datasets are responsibly maintained for at least 10 years and migrated to new formats if needed.

Credit and visibility¶

Using DataverseNO helps you comply with journal and funder requirements and ensures that others can easily find, access, and credit your dataset:

• Facilitating peer review: DataverseNO allows you to share dataset drafts with journal editors and reviewers through a Preview URL before publication. For double-blind peer review, curators can create an anonymized version of the dataset draft.

• Fulfilling data sharing requirements: Funders, journals and institutions often require research data to be shared in line with recognized principles. Publishing your data in DataverseNO helps ensure compliance with these requirements. Examples include policies and guidelines from The Research Council of Norway, The European Research Council, and The Science journals.

• Citation: Datasets in DataverseNO are assigned persistent identifiers (DOIs), providing stable and unique references. DOIs enable reliable citation, which increases academic credit and makes datasets easier to find and reuse.

• Indexing in search databases: DataverseNO datasets are indexed and searchable in multiple discovery services, including B2FIND - EUDAT, Bielefeld Academic Search Engine (BASE), DataCite Commons, Google Dataset Search, and Oria. This broadens their reach beyond DataverseNO and improves visibility and impact.

The wide dissemination is enabled through metadata harvesting. DataverseNO releases all metadata under the Creative Commons Public Domain Dedication (CC0), which allows free use and redistribution. Metadata can be harvested via the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) using the following addresses:

• DataverseNO (entire repository)

• HiO collection

• HVL collection

• INN collection

• MF collection

• NIBIO collection

• PathFinder pan-European Collection

• NMBU collection

• NORD collection

• The Spawning behavior of Arctic charr video collection

• NTNU collection

• OsloMet collection

• UiA collection

• SFI Offshore Mechatronics collection

• UiB collection

• UiB Global Navigation Satellite System Data collection

• UiO collection

• UiS collection

• UiT collection

• NMDC Node UiT collection

• TGO

• USN collection

• VID collection

• TROLLing

For more information, please contact DataverseNO repository management.

Further reading¶

The article below further describes the organization of DataverseNO and how the repository supports the FAIR data principles.

Conzett, Philipp. 2020. "DataverseNO: A National, Generic Repository and Its Contribution to the Increased FAIRness of Data from the Long Tail of Research". Ravnetrykk, no. 39: 74-113. https://doi.org/10.7557/15.5514

Contact DataverseNO repository management for more information about the repository.