It is very true that “Science is data and that data are science.”1 Research data/datasets are the foundation of scientific discoveries2, have added value, and contribute to the transparency of science3. The open research data provides others with re-investigating the previous findings (i.e. reproducible science), investigating new research problems using the available data or mixing it with other available data (i.e. the added value of research data), and finally, serving the public interests (i.e. the open and transparent science)4.
The Inland University of Applied Sciences (HINN) has its own policies and guidelines for handling research data that describe the division of responsibilities, ownership and sharing of data, as well as requirements related to the processing of personal data in research.
The researchers affiliated with HINN have the possibility to publish their research data through INN Open Research Data (powered by DataverseNO).
How to publish your research data/datasets via INN Open Research Data
Please follow the instructions provided in this video which provides researchers with required information for registering and publishing research data/datasets in DataverseNO. The video is created by John David Didriksen (special librarian at the University of Stavanger).
Remember that you must select the INN Open Research Data archive when registering your datasets.
Please contact us via email ( email@example.com) for more information or help.
1. Hanson, B., Sugden, A., & Alberts, B. (2011). Making Data Maximally Available. Science, 331(6018), 649-649. doi:10.1126/science.1203354
2. Molloy, J. C. (2011). The open knowledge foundation: open data means better science. PLoS Biol, 9(12), e1001195. Doi: 10.1371/journal.pbio.1001195
3. Lyon, L. (2016). Transparency: the emerging third dimension of Open Science and Open Data. Liber quarterly, 25(4). Retrieved from https://www.liberquarterly.eu/articles/10.18352/lq.10113/print/
4. Borgman, C. L. (2012). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059-1078. doi:10.1002/asi.22634