(Text: Idun Knutsdatter Østerdal)
Curators at NTNU University Library have quality-assured and published over 200 datasets in DataverseNO – an important step toward strengthening open science. It has never been easier for researchers to share data securely and openly.
Open Data Across Disciplines and Groups
Dataset number 200 in NTNU’s institutional collection of the DataverseNO research data repository was published by Dr. Leon Li and Prof. R. Jason Hearst at the Department of Energy and Process Engineering, NTNU. Hearst’s research group alone accounts for 15 of NTNU’s datasets in DataverseNO, and sees great value in the service:
DataverseNO is an essential service, not only to meet funding requirements, but to promote and embody open science practices. We post all data from our published works at DataverseNO and include the data DOIs in our articles. – R. Jason Hearst
The group’s datasets have been downloaded over 600 times, illustrating how DataverseNO makes data easily accessible. Li adds: “DataverseNO provides a great platform for researchers to share their data openly, which is essential for collaborations across different groups within our research field.”
Upper left hand photo: (From left to right) Dr. Leon Li, Prof. Jason Hearst, Dr. Srikar Yadala in the NTNU-EPT wind tunnel. Photo Credit: Youssef Elashmawi
Lower left hand photo: The three dataset authors. Photo Credit for the headshots is Maren Agdestein
Right hand photo: Data acquisition in the wind tunnel lab with scientific cameras in the background. Photo Credit: Leon Li
What Does Reaching 200 Datasets Mean?
With more than 200 datasets available, NTNU contributes to more open and reusable research, strengthening transparency and impact. This milestone demonstrates NTNU’s growing commitment to open science and infrastructure.
First Librarian Fredrik Sahlström, responsible for DataverseNO at NTNU, is very pleased with the development: “We have seen a steady increase in the number of published datasets in NTNU’s collection on DataverseNO, and it is gratifying that the platform helps make research data at the university more open. Our team at the University Library works closely with NTNU’s research communities to find the best solutions for publishing various types of data.”
Guidance Through the Archiving Process
NTNU University Library supports researchers throughout the archiving process – from cleaning data and preparing README files to uploading and managing metadata.
The people behind the scene to keep DataverseNO running have done a great job in providing feedback and helpful instructions and recommendations throughout the data-uploading process. They are always friendly, professional, and quick in their responses, making the whole experience smooth and streamlined. Not only would I recommend DataverseNO to all my colleagues out of principle, but I would also recommend it based on the user experience. – Leon Li
Sahlström coordinates the curation work involving 10 library staff members: “We also offer digital courses for staff and students every semester and actively participate in the national DataverseNO collaboration to further develop the platform. We hope that more researchers at the university will discover the benefits of sharing research data via DataverseNO in the future,” he encourages.
Research group leader Hearst chooses DataverseNO over other services: “While there are ever increasing platforms for sharing data, having a local service with local support streamlines the process. I frequently recommend DataverseNO to NTNU colleagues.”
