Publish your research data

Share your research data

Faculty at INN University can share their research data through INN Open Research Data (by DataverseNO). This archive is a part of DataverseNO.

How to publish your research data/datasets via INN Open Research Data

See Deposit guidelines on how research data must be prepared before they can be published in DataverseNO, how the deposit process works, and how you can refer to your own or others’ data.

Remember that you must select the INN Open Research Data archive when registering your datasets.

What are research data?

Resarch data are representations of observations, objects, or other entities used as evidence of phenomena for the purpose of research or scholarship¹.

Research data policy

Inn University's guidelines for handling research data states that faculty shall comply with the national principles that research data should be as open as possible - as closed as necessary.national strategy. If possible, data should be made available for reuse after the end of the project. INN faculty must follow the international FAIR principles to facilitate further use of research data.

The data used as the basis for scientific articles should be made accessible as soon as possible, and never later than at the time of publication. Other data that may be of interest for other research should be made accessible within a reasonable amount of time, and never later than three years after the project has ended. Further, the policy describes the division of responsibilities, ownership and sharing of data, as well as requirements related to the processing of personal data in research.

Open data

“Science is data and that data are science.”² Research data/datasets are the foundation of scientific discoveries³, have added value, and contribute to the transparency of science⁴. 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)⁵.

References

1. Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. Cambridge, MA: MIT Press.

2. Hanson, B., Sugden, A., & Alberts, B. (2011). Making Data Maximally Available. Science, 331(6018), 649-649. doi:10.1126/science.1203354

3. Molloy, J. C. (2011). The open knowledge foundation: open data means better science. PLoS Biol, 9(12), e1001195. Doi: 10.1371/journal.pbio.1001195

4. 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/

5. 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