Open Access - UB
Open science at NTNU
Openness throughout the research process is of central at NTNU. Open Science adheres to the scientific ideals of knowledge as a common good, independent, reproducible research and organized skepticism, and contributes to fulfilling NTNU's vision of knowledge for a better world.
Open Science Lunch
Each last Thursday of the month at 12:00 we invite you to join us for a lunch seminar to hear about how to make your research more open. We will discuss research transparency and visibility, open publishing, data sharing, and more!
31. October: How to curate data for long-term use? Join us on Zoom 12-13.00
- How to curate heterogenous brain data for the long-term? - EBRAINS
- Global Biodiversity Information Facility - Anders Finstad
The seminar series is a collaboration between BOTT Universities in Norway: University of Bergen, University of Oslo, Norwegian University of Science and Technology and UiT The Arctic University of Norway.
Practices and guidance at NTNU
All NTNU publications must be open access, as stated in the Policy for Open Science.
See how to publish with open access at NTNU. Read more about Open Access publishing at NTNU. See also our flowchart for how to publish with open access.
Research data at NTNU should be managed according to best practice and be as open as possible and as closed as necessary. Data containing personal information must be processed according to GDPR and NTNU guidelines.
All research projects at NTNU should develop a Data Management Plan describing how the research data will be managed.
Research data at NTNU can be published and shared openly in our repository for research data, NTNU Open Research Data.
Source code and software developed in research projects and other academic activities, should be included as a part of published research results.
Together with publication of research data, this facilitates testing and validation of analyses and models, and enables reuse and further development of the code or software.
Many aspects of best practice for research data management are applicable to source code. This includes versioning, documentation and metadata ensuring research output that is as FAIR, open and reproducible as possible. Nevertheless, there are some considerations and practicalities that are specific for source code, including licensing.
To store and share digital learning resources, NTNU offers a cloud-based service that makes it easy to use the same learning resources in several places, across subjects, programs, systems and institutions. The system used is DLR and is provided by Sikt.
Sharing digital learning resources
Open science concerns the entire research cycle, from pre-registration via open methods and analysis to open access and peer review, for example:
- Pre-registration
- Preprint publication
- Electronic lab notebooks
- Electronic notebooks (for example Jupyter Notebooks)
- Research infrastructure
- Citizen science
Courses
Events
Networks
Research Data Alliance (RDA)
RDA is a global organization that works to enable open sharing and reuse of research data.
Information about the Norwegian node (NO-RDA)
The Norwegian Reproducibility Network (NORRN)
NORRN is a peer-led network that aims to promote and enable rigorous, robust and transparent research practices in Norway.